Saturday, January 10, 2015

I read everyting I can find on Indoor location. THis one is recent and by one of QUIK competitors. SO lets see what they have to say...

INDOOR NAV GOES HYBRID

Posted By Administration, Tuesday, January 06, 2015

By George Hsu, president and CEO, PNI Sensor

Chicago O’Hare Airport has 17 different Starbucks. The line at the Starbucks nearest your departure gate is startlingly long – so what’s the quickest way to find another Starbucks? There’s an interactive map of O’Hare Airport, complete with all the Starbucks, but since you’re so caffeine-deprived, you’re having a difficult time reading it. Wouldn’t it be nice to have step-by-step directions to the two closest Starbucks?

Or what if you’re walking around a massive shopping mall and are looking for a particular store that you know is having a sale? Indoor navigation on your smartphone or your smartwatch would allow you to find a particular restaurant or store in real-time, relative to your current location.

Smartphone and wearable designers want to deliver more accurate indoor navigation to consumers, in large part because of demand from carriers and data aggregators (like Google) who will work to develop new revenue streams enabled by indoor navigation.

While some level of indoor navigation exists, at least in some places, current solutions leave much to be desired. Google Maps and GPS-enabled devices and smartphones have enjoyed tremendous adoption and are considered indispensable tools by consumers. However, it has been challenging to deliver the same functionality indoors. GPS has historically been the most prominent positioning technology in the outdoor environment but it cannot provide adequate positioning indoors, with its weak signals unable to penetrate walls effectively. This is a major deficiency since mobile devices and smartphones are typically used inside rather than in outdoor locations.

Furthermore, there is a strong impetus to enable services that empower consumers while also providing commercial monetization opportunities. The ability to acquire accurate, granular indoor location data is poised to open up huge opportunities in a variety of markets such as proximity-based mobile advertising, augmented reality, retail, healthcare and public services.

Wi-Fi triangulation and Bluetooth beacons are existing technologies that are competing to enable indoor navigation. While several competing standards are deployed in a few showcase locations — a handful of airports, shopping malls and exhibition centers — Wi-Fi and Bluetooth beacons are difficult to roll out in a ubiquitous manner because they require:

· Infrastructure set-up with cooperation from venue owners, and timely updates about the location of each access point/beacon

· Handset Bluetooth and Wi-Fi that are always on, which rapidly drains power and inconveniences users

Each of these technologies also faces significant challenges in terms of accuracy. Specifically, Wi-Fi location technology is accurate to approximately 5 to 30 meters or more depending on Wi-Fi signal attenuation, which varies in the presence of people and objects and the location of the Wi-Fi access point. In order to achieve an approximate 5m level accuracy, the precise location of each access point must be known, and a fingerprint database developed. Communication Service Providers (CSPs) are able to achieve at best 10 meters accuracy from LTE diverse location determination and delivery capabilities. In a perfect implementation, Nokia’s High Accuracy Indoor Positioning (HAIP) Bluetooth can be accurate to about 0.5m – 1m, but will require substantial modification to current Bluetooth 4.0 chips and significant investment in Bluetooth beacons.

While ~10 meter accuracy is sufficient for basic store-level location tracking, the market will ultimately demand sub-1m accuracy where one can identify if a consumer is at a specific position, such as in front of a particular display or aisle. Hence to date, rapid rollout of value-added indoor services has been inaccurate, delayed and spotty. Consequently, both new use cases and uptake by consumers has been slow.

Given the limitations of existing solutions, what type of approach could produce the highest-accuracy indoor navigation today?

Wi-Fi, cellular and pedestrian dead reckoning (PDR) using MEMS motion sensors in mobile devices (namely sensor fusion of gyroscopes, accelerometers and magnetic sensors) comprise a hybrid approach. In fact, ABI Research projects that by 2014, hybrid solutions (with Wi-Fi, Bluetooth and sensor fusion) will have already surpassed standalone indoor location technologies on smartphones, with Wi-Fi and sensor fusion hybrid solutions reaching over 900 million units in 2018. Accurate, low-power sensor fusion (including key algorithms for PDR) are essential to implementing this hybrid indoor navigation approach.

PNI Sensor has developed the PDR portion of the hybrid solution. Its sensor fusion technology combines data from multiple sensors intelligently, correcting for the deficiencies of those individual sensors in order to track position accurately (down to 1m), either with or without the presence of infrastructure or other complementary positioning technologies.

With PNI’s solution embedded as a motion coprocessor in your cell phone, getting straight to that latte is a lot closer than you think.

ANything new here? No, everybody sees the size of this solution application and will have something to offer..QUIK hows your solution coming?

No I don't expect an answer till its done, all the bugs out and ready to show and NOT talk about. Hand a device out and have the try it out.

Thursday, January 8, 2015

Q&A: MEMS Industry Group Takes On the IoT

Dec 29, 2014William Wong, Stephen Whalley and Dr. Tim Saxe | Electronic Design

MEMS is a key technology in the Internet of Things (IoT), especially for mobile wearable technology. Technology Editor Bill Wong talks with members of the MEMS Industry Group (MIG) about MEMS and IoT.

Microelectromechanical (MEMS) technology is a vital piece in the Internet of Things (IoT) puzzle, especially for mobile wearable technology (see “Wearing Your Technology”). It allows compact, inexpensive, accurate devices such as accelerometers to be standard fare in applications like smartphones.

I recently spoke to members of the MEMS Industry Group (MIG) about MEMS and IoT. MIG addresses the entire supply chain from foundries through end devices. The importance of MEMS is evidenced by the full-day conference track, Sensors & MEMS Technology, at this year’s Consumer Electronics Show (CES) in Las Vegas.

Wong: What roles do MEMS/sensors play in wearables and IoT devices?

Whalley: MEMS/sensors are the frontline “edge” devices collecting the raw data from the environment, such as pressure and temperature, or human body data, such as number of steps taken and heart rate. In wearable devices and IoT applications like smart homes, buildings, cities, and vehicles, they usually form a sensing cluster around the application processor, feeding it with every sensory change taking place. The individual data—or more commonly, combined or fused sensor data—is then processed using algorithms to make sense of this raw data that humans or machines can act upon.

Saxe: Sensors are the key to wearables and IoT, since they allow devices to “observe the world,” which in turn allows the devices to augment our own senses or autonomously make certain decisions for us. Of course, none of this works if the sensors are too costly, which is where MEMS comes in. By leveraging the incredible volume manufacturing capability of semiconductors, MEMS sensors can drive the cost of sensing down to the point that it is virtually free.

Wong: What is your view of sensor fusion for MEMS/sensor-based applications?

Whalley: Sensor fusion essentially makes the whole greater than the sum of the parts. Where multiple sensor data points and inputs can be combined, this provides a much richer picture of what is happening and what must be acted upon. The fusion can be data from the physical sensors on a device, and it can include information from “soft” sensors such as a calendar appointment, contact list, emails, flight information updates, etc.

It can also include data from Google Maps regarding, for example, traffic conditions, weather updates, pollen counts, etc. More information can be collected to make a more informed decision on what to act on. The key is not to confuse the user with too much information: Provide just the essentials, such as leave for the airport 30 minutes earlier than planned due to a traffic accident, or don’t run outside this morning because the air quality is in the red zone.

Saxe: Data is of no use unless it is turned into actionable information. Sensor fusion is key because it increases the quality of the information to the point that useful actions can be generated.

Consider the well-being case: 250,000 acceleration measurements taken over the course of a day are turned into information about how many steps you took and how much deep sleep you got, all through fusion. The next step is big data, which relates the steps to the quality of sleep and provides guidance on how to improve sleep.

Interesting things happen at the intersection of sensor data streams. Consider the case of a phone held up to an ear. The accelerometer can tell that the phone is in the right orientation, but doesn’t know if the phone is just being held up or is actually at the ear. The proximity detector knows if the phone is close to something, but doesn’t know if it is simply face down on the table or close to your head. By fusing the orientation information with the proximity information, we can be more confident that the phone is held to the ear, except maybe it is in a purse at about the right orientation and the proximity is to a book in the purse. If we could fuse that with an IR temp scan that told us the phone was close to something at 98.6°, then we could be even surer of its proximity.

Wong: What are the important new technologies for achieving lower power in consumer applications?

Saxe: There is no single answer. One high impact area is partitioning of algorithms between software and hardware. It is much easier to use software to develop algorithms, but hardware tends to require significantly less power. What’s required is an effective methodology or tool flow that achieves most of the flexibility and rapid development cycle of software, while harnessing a significant portion of the hardware’s power advantage

.
That is how QUIK is better

Another high impact area is radio technology. BlueTooth Smart appears to have solved the low-data-rate, short-range challenge. There is no obvious winner yet for the medium-to-long range, low-data-rate challenge. This is important for home and building automation. BlueTooth Smart has the low power but not the range, and WiFi has the range but not the low power.

Wong: How will open-source initiatives, like MIG’s Accelerated Innovation Community (AIC), affect design-to-delivery of new MEMS/sensors-based applications?

Saxe: I think there are two phases to any open-source effort. When an algorithm is new, various parties will seek to gain a competitive advantage through their unique version of the algorithm. During this phase, expect to see only a basic algorithm submitted to the open-source repository, with the advanced algorithms remaining proprietary. Having the basic algorithm is still extremely valuable to applications developers, because it lets them sort out their core functionality using the basic algorithm in parallel with the development of the proprietary algorithms.

As the algorithm matures, a consensus forms as to what features and quality of results (QoR) are required. This reduces and eventually eliminates a proprietary algorithm’s competitive advantage. Subsequently, an “industrial quality” algorithm will be submitted to the open-source repository, which will become the de facto standard. Even proprietary implementations will support all of the features and QoR. Thus, applications will then be able to count on the features and QoR.

Whalley: The concept of Accelerated Innovation Community is to provide a forum that lets companies obtain basic sensor algorithms common to many designs, such as basic filters, step counters, 9-axis sensor fusion, etc. These baseline algorithms shouldn’t have to be created time and time again by each new company or application that comes along. The hope is that many companies, universities, research institutes, and individuals will contribute to AIC, and as users benefit from the algorithms, they will put back improved versions or derivatives of the algorithms and add new ones in the future, too. The goal is to speed product development times, lower costs, and foster innovation by allowing the company to focus on their true value-add and product differentiation.

The MEMS Industry Group will host a full-day conference track, Sensors & MEMS Technology, at 2015 CES. For more information, click here. MIG will also be on the show floor, January 6-9, 2015 during exhibition hours: Tech West, Sands Expo, Level 2, Booth 72032

Monday, January 5, 2015

For those who want more depth, here is an Audience thought item on voice....

Audience eS700 Series – The Analyst Point of View

Written by: Linley Gwennap

Audience regularly works with leading industry analysts, like Linley Gwennap of The Linley Group, to keep them informed on our latest news and to gain unique third party perspectives on the industry that can help shape strategy and business decisions. When Audience introduced our eS700 series, we worked closely with Linley Gwennap on his whitepaper: “Always Listening, Always On: Advances in Sensory Processing.” Below is an abstracted version. To read the entire whitepaper, go to Linley’s website.

Always Listening, Always On: Advances in Sensory Processing

Smartphones use sensors and voice input to become aware of their surroundings and to interact more naturally with their users. Smartphone makers continue to develop more advanced capabilities, adding new types of sensors and more sophisticated voice functions. If implemented improperly, these changes can greatly reduce battery life.

The first smartphones tried to bring the PC experience into the palm of your hand. Since then, smartphone makers have raced to add more capabilities, helping their devices to be aware of and react to their surroundings. These capabilities depend on an expanding array of sensors that react to gravity, motion, and light.

Voice has become a central function of high-end smartphones. Virtual assistants respond to natural-language commands, performing information searches and controlling aspects of the device. Developers are now taking these functions to the next level. By comparing sensor data to existing motion signatures, software can recognize gestures, count the number of steps the user has taken, or analyze the effectiveness of their exercise.

Smartphones Adopt Sensor Hubs

High-end smartphones continue to add sensors, including a magnetometer (compass), barometer (pressure), ALS (ambient-light sensor), UV (ultraviolet-light) sensor, and infrared proximity sensor. As their costs fall, these sensors will migrate into mainstream phones, just like the gyro did.

Managing all of this sensor data is becoming complex, particularly for applications that continually measure motion, such as a fitness app. Using the main processor to monitor the sensors would be power intensive. High-end phones use a “sensor hub” to coordinate this data, waking the main processor only when necessary.

Voice Processing Becomes “Always On”

Voice is another form of sensory input. Originally voice command functions required user-specific training, but modern processors can implement speaker-independent voice recognition. Sophisticated services, such as voice search and virtual assistants, need large vocabularies; these services often implement voice recognition in the cloud, sending the voice sample to a distant data center.

A device that is “always on, always listening” solves this problem. This technology allows the user to create a verbal phrase that will wake the device. The phone can then accept voice commands such as “set alarm for 10AM,” all without ever touching the device. Other sensory-based gestures, such as wrist flicks, can reduce the time needed to open an application.

Always Listening, Always Power Efficient

Most phones today implement voice commands on the main, power hungry CPU. As with other sensors, the key to “always listening” is to offload this function from the main CPU on to a smaller, power-efficient processor that creates minimal impact on battery life. The new eS700 chip from Audience uses just 0.6mA current draw from the battery when “listening,” meaning that turning on this feature will reduce the battery life of an average phone by only 15 seconds.

The eS700 series combines a processor and DSP capability on a single chip. A DSP uses less power than a standard CPU for voice processing, because it has been optimized for that function. Like a microcontroller, the Audience chip also integrates memory, allowing it to store the voice buffer and related data. Keeping this data on chip reduces both power and cost, compared with external memory.

Emerging Applications

Although smartphones are the initial focus for always-on features, this technology applies to other types of devices. Always-listening technology is applicable to tablets, laptop PCs, smart TVs and other consumer-video products, automotive in-dash systems, and wearables. As these markets develop, consumers will discover a new, more natural way of interacting with their devices.

Conclusion

Enabling this sensory processing functionality requires equally advanced hardware. No matter how powerful the application processor, it cannot perform these functions without quickly depleting the battery. For maximum power efficiency, sensor and voice processing must be offloaded to a separate processor. This approach, combined with intelligent power-management software, will maintain battery life even when the phone is “always on.”

With integrated memory and DSP capability, the Audience eS700 series are low-power processors that are well suited for always-listening, always-on devices.

For the casual reader. For the MAJOR application solution, Indoor location leaving the MIC on for YA won't do ananything as it won't know where you are. But it is an alternative input to a wearable to gesture and so its nice that we will have it in the mix and match algo store......

I will NOT digress TOO FAR, but here is some text on ARM DSP as opposed to CEVA or Audience DSP...

Interesting, and for me it shows QUIK will offer it, it its wanted/needed.

DSP & SIMD

DSP Extensions

The ARM DSP instruction set extensions increase the DSP processing capability of ARM solutions in high-performance applications, while offering the low power consumption required by portable, battery-powered devices. DSP extensions are optimized for a broad range of software applications including servo motor control, Voice over IP (VOIP) and video & audio codecs, where the extensions increase the DSP performance to enable efficient processing of the required tasks.

Features

Single-cycle 16x16 and 32x16 MAC implementations
2-3 x DSP performance improvement over ARM7™ processor-based CPU products
Zero overhead saturation extension support
New instructions to load and store pairs of registers, with enhanced addressing modes
New CLZ instruction improves normalization in arithmetic operations and improves divide performance
Full support in the ARMv5TE, ARMv6 and ARMv7 architectures

Applications

Audio encode/decode (MP3: AAC, WMA)
Servo motor control (HDD/DVD)
MPEG4 decode
Voice and handwriting recognition
Embedded control
Bit exact algorithms (GSM-AMR)

Compilers targeting the ARM architecture can use these DSP extensions to improve code-generation for standard C and C++ software, or allow software developers to request explicit use of these extensions via intrinsic or inline assembly code.

Performance

The ARM DSP extensions enable increased DSP performance without the need for very high clock frequencies. This performance comes with almost no increase in power consumption on a typical implementation.In many applications including smartphones and similar embedded systems requiring considerable signal processing, the DSP extensions can often eliminate the need for additional hardware accelerators. The DSP extensions provide complete compatibility with the 32-bit ARM and 16-bit Thumb^® instruction set, ensuring that all existing OS and application code is reusable on DSP-enabled, ARM processor-based devices. The extensions are broadly applicable across a wide range of market segments including wireless, mass storage, automotive, consumer entertainment and digital imaging.

The best thing I have done this past yr, besides reading S Johnson's great book, " Where Good Ideas Come From."

Reading and printing up for future reference the QUIK jobs. Once they are gone you have no idea of what they wanted and where they are going. Since this Blog is little read I have more freedom, to post what those needs are.

This one.....Nice, as it fills a potential gap in the coral reef. A little background.
It's at the level of the M4 that ARM has an embedded DSP. Those in the DSP space that are moving to wearables/IoT, always on...its voice( Audience). I make fun of it by saying we will leave the MIC on for ya( as opposed to all of the sensors.)

This one- right here, right now....

Senior Staff Voice System Architect

Sunnyvale, CA
Full-time

Job Description

The senior staff voice system architect plays a key role in developing voice technology system and software on QuickLogic’s smart sensor hub for smartphones, wearable and IoT. Strong system, hardware and software architecture and algorithm experience in the area of voice processing, with the ability to collaborate with multi-disciplined engineering teams, is required to succeed in this position.

Key result areas for this position are:

• Own the definition of the system and hardware/software architecture for voice technology for QuickLogic’s smart sensor hub for smartphones and wearable. The initial focus will be around voice trigger and voice command for mobile devices.

• Responsible for generating use-case analysis for voice technologies and deriving the detailed hardware requirements supporting the voice use cases.

• Play a key role in evaluation and selection of our voice technology partners. Function as a main technical interface to the selected partners to ensure the deliverables will meet our requirements.

• Participate in the development and integration of the voice software modules into the sensor hub software releases.

Commentary, great, great, we will need some partners here. The sample rate is higher here and that is why DSPs do the work.

Andy did have that cryptic phrase about Audience ( ?) but there are many others also.

• Work with marketing, application engineering and sales teams during engagement with key customers to ensure successful integration, qualification and deployment of QuickLogic’s smart sensor into mobile platforms.

Key Activities/Tasks for these positions are:

• The architect will work closely with hardware, software, tool teams to evaluate various architectural trade-offs in order to generate best in class voice technology with initial focus on voice-trigger and voice commands. The architect will generate detailed hardware requirements for supporting implementing and seamless integration of the voice software module into releases. He/she will support the teams to complete the development phases including design, implementation, integration, testing and deployment.

• In this role, the architect will work with our partners, marketing, engineering teams and our customers for generating the technical requirements and the system and algorithm specifications for voice technologies.

• The architect will support the teams and activities for key customer’s engagements to ensure key design wins and successful integration, qualification and deployment of the smart sensor products integrated with voice technologies.

Qualifications

• MS in electrical engineering or computer science is required. PhD in electrical engineering or computer science is preferred

• 10 or more relevant experience

• Expert level in voice processing system with focus on voice trigger and voice commands

• Broad technical experience in both hardware and software development. Experience in efficient partition and implementation of algorithms in both software and hardware.

• Demonstrated ability to successfully complete complex R&D technology projects

• Good communication skills and must be able to work in team environment

The following experience is highly desired:

• System architecture experience with very low power system

With this offering QUIK will add another 100 man

yrs of veterans to the roster, but its early in 15. We

added 100 last yr. At this pace it will be 2-300 yrs of

experience. But it won't go that high as we have

almost all of the expertise we need now. They will

soon be all on board .

Thanks for the investment in software last yr and

this yr.

Why? The best blank canvasses. If you can think

of it, with the low power QUIK has you can leave

the sensors on, and make it the best that it can be.

( step counter as the 1st example.

Anyway, soon QUIK will leave the MIC on for ya,

like

the other guys do.

I was sleeping pretty good and will add another 10

min. of the prime time sleep when this one is filled.

And it will fill. Won't need a Fitbit to tell me that

A few snip from PNI item...

first ever smartwatch-sized development kit with both the hardware and software crucial for quick and easy product development of wearables and Internet of Things.

SENtrode Dev Kit

Available in March.

QUIK does not do this.

Dec 11

QL-TAG-N-S2, is available today

Here is the blast from the past...

QuickLogic to Present at the 14th Annual Needham & Company Growth Conference in New
York
SUNNYVALE, CA -- (MARKET WIRE) -- 12/21/11 -- QuickLogic Corporation (NASDAQ: QUIK), the leader in low power
Customer Specific Standard Products (CSSPs), today announced that Mr. Andrew J. Pease, QuickLogic's President and CEO,
and Mr. Ralph S. Marimon, the company's Chief Financial Officer, are scheduled to present at the Needham & Company
Growth Conference in New York on January 10, 2012.
The company's presentation will cover how its CSSP solution platform families for smart connectivity and for display and video
enhancement address some of the most pressing needs of designers of leading edge mobile products including time to market,
differentiation, innovation and data protection. The presentation will also cover how the company's product strategy uniquely

positions the company in the rapidly growing market for mobile products.
three yrs go by........

Thenthis one....

QuickLogic to Present at the 17th Annual Needham & Company Growth Conference in New York

SUNNYVALE, CA -- (Marketwired) -- 01/05/15 -- QuickLogic Corporation (NASDAQ: QUIK), the innovator of ultra-low-power programmable Customer Specific Standard Products (CSSPs), today announced that Mr. Andy Pease, QuickLogic's President and CEO, and Mr. Ralph S. Marimon, the company's Chief Financial Officer, are scheduled to present at the Needham & Company Growth Conference in New York onJanuary 14, 2015.

A key challenge for designers of smartphone and wearable electronics is to provide advanced processing capabilities in a small form factor while minimizing power consumption. The company's presentation will cover how its CSSP solution platform families offer a unique hybrid architecture that gives developers a flexible platform providing the performance, power efficiency, and integrated functionality necessary to meet the evolving design challenges inherent in mobile electronics applications.

The slide presentation will be followed by a question and answer session. Individual one-on-one meetings can be arranged through Needham & Company.

commentary from Yhoo on this item

QUIK returns to Needham after three years!

For QUIK Newbees, this is very important. Take a look at historical stock charts for 2009 and 2010, and you will see that the Needham conference kicked off significant uptrends. Andy must have good things to say. Needham covered QUIK for years, so we could have coverage initiation after the Q4 earnings. This is a very good sign for the future.

Commentary from the reading these past months. QUIK's investment in software was spot on. There is some urgency in the adjacent possible in the sensor coral reef. M & A for the bits and pieces that are needed. Ecosystem items, ie bigger dogs making M & A moves for the IoT. Tons of creativity evident in the wearables at CES.

The loading of the data into the data centers for more work will have more and more focus. In this sense the QUIK having both a TAG wearable and one with bluetooth is a WHOLE lot better that PNI having a reference design with no bluetooth in March.

PNI Sensor Launches First Smartwatch-Sized Wearable Development Kit at 2015 CES

Kit Speeds Design-to-Delivery of Wearables Offering Heart Rate Monitoring, Motion Tracking and Environmental Sensing

Press Release: PNI Sensor Corporation – 5 hours ago

LAS VEGAS, NV--(Marketwired - Jan 5, 2015) - 2015 International Consumer Electronics Show -- PNI Sensor Corp. today introduced SENtrode™, the first wearable

Got that part wrong, but they got to write it.:-)

development kit integrating sensors, PNI's SENtral™ sensor hub, sensor fusion algorithms, programmable processor and wireless capabilities into a bracelet-sized form factor. SENtrode speeds design-to-delivery of smartwatches, activity and wellness monitors and other wearables that use sensors to generate a more satisfying user experience.

The company also announced a second version of SENtrode in a separate housing fit for Internet of Things (IoT) devices, such as smart home appliances and connected sensor networks. SENtrode for wearables is just 31.55mm x 37.15mm x 8.28mm with a bracelet, and SENtrode for IoT devices is 31.55mm x 37.55mm x 8.65mm.

"We built SENtrode from necessity," said George Hsu, president and CEO, PNI Sensor Corp. "We wanted a hardware development platform that would allow us to accurately make sensor measurements and enable us to embed algorithms such as motion compensated optical heart rate monitoring -- but with existing development kits, we needed a harness for the processor board and a cable to connect the sensor board to the wrist to measure heart rate. With SENtrode literally the size of a smartwatch, we can now develop and validate our algorithms for wrist-worn devices. No wires, harnesses or large battery packs required, and most of all, we can capture real use-case sensor readings, which is critical for accuracy."

Hsu also pointed out the design-to-delivery benefits of SENtrode, "Unlike other development kits, SENtrode includes all the necessary hardware components from different manufacturers on one small form-factor board. Design engineers can focus on creative software and application development, instead of on hardware, so they can more quickly introduce new wearables and IoT products to market."

SENtrode features:

PNI's SENtral M&M module, a small form-factor board integrating an accelerometer, gyroscope (gyro), magnetometer and pressure sensor with PNI's sensor fusion algorithms running on SENtral, the company's sensor-agnostic, ultra-low power sensor hub
Integrated Heart Rate Monitor (HRM) mounted on an auxiliary sensor board
Humidity and gas sensors will also be available on additional auxiliary sensor boards and will be managed by SENtral, along with the necessary sensor fusion algorithms for each of these sensors
Bluetooth^® Smart (formerly Bluetooth Low Energy, or BLE)
An ARM Cortex M4 -- with enough programmable memory and processing power to run the customer's embedded software applications
Rechargeable 70mAmp hour battery
JTAG programming board
Wearable housing in wrist band form; separate housing for IoT devices is also available.
SENtrode for wearables includes:
- Gyroscope, accelerometer, magnetic sensor, pressure and optical heart rate sensor readings
- Sensor fusion algorithms:
  - 9-axis sensor fusion
  - 6-axis sensor fusion
  - E-compass
  - Step counting
  - Significant motion
  - Tilt to wake
  - Altitude
  - Motion compensated heart rate

SENtrode for IoT includes:
- Gyroscope, accelerometer, magnetic sensor, pressure and humidity sensor readings
- Sensor fusion algorithms:
  - 9-axis sensor fusion
  - 6-axis sensor fusion
  - E-compass
  - Step counting
  - Significant motion
  - Tilt to wake
  - Barometric pressure
  - Relative humidity

Availability and PriceSENtrode development kits for wearables and for IoT devices are available today from PNI Sensor. Kits are priced at $299 each. For more information about SENtrode, please visit:http://www.pnicorp.com/products/sentrode or email: info@pnicorp.com.

Anything missing?

No Nordic bluetooth optionso they can practice loading their data into the cloud. That's not so good for them.

THe adjacent possible says expect multiples, everybody will use the parts they have on their table to see what they can do. DSP people, MCU people, etc. An ARM 4 for this application? They lost their low power capabilities.