QuickLogic makes its bid for a piece of the Wearable IoT craze - Embedded.com

QuickLogic makes its bid for a piece of the Wearable IoT craze

QuickLogic Corp.,, which builds application specific standard products on a chip architecture that takes advantage of a proprietary programmable fusible link interconnect technology has just entered the still naescent wearable IoT with a twofer.

One is its S1 wearable sensor hub, its hardware solution to the problem of managing the many streams of position, orientation and environmental data such devices will generate. The second is a set of algorithms for sensing and recognizing various human gestures and then determinihng what they may mean. 

According to Brian Faith, VP of worldwide sales and marketing, the ultralow power S1 Wearables Sensor Hub has been designed as an out-of-the-box solution to speed time-to-market for OEMs developing next-generation wearable applications, particularly in the health and fitness space.

“The nascent wearables market represents an ideal set of applications for our ultra-low-power, context-aware sensor hub solution,” he said. “This highly fragmented market is expected to grow rapidly.” said Faith.

The S1 Wearables Sensor Hub (Figure 1 below ) is a programmable link based application specific product (what the company calls a CSSP) based on the company’s ArcticLink 3 S1 silicon platform, and because of that, he said, is extensible to QuickLogic’s roadmap of future sensor hub silicon platforms.

Figure 1. QuickLogic Sensor Hub.

Key to the introduction, though, is the set of algorithms it has developed to support a variety of gesture sensing modalities, including:

Contexts : Walking, Running, Cycling, In-Vehicle, On-Person, Not-on-Person
Gestures : Tap-to-Wake, Rotate-Wrist-to-Wake, and
User Function : Pedometer, including separate step counts for running and walking

Designed to support both the Android 4.4 (KitKat) Linux distribution and Express Logic's Thread X Real-Time Operating System, it consumes less than 250 microWatts active power

It is the algorithms that at will give QuickLogic's offering a good chance in the wearables market, developed as they were to recognize variety of popular contexts and gestures, making possible more accurate and more intuitive fitness and health applications for a wide range of activities.

On the hardware side, said Faith, the S1 incorporates a unique system timing and control implementation QuickLogic has developed to accommodate the low-power architectures of wearable devices, doing this partly by offloading the real-time, always-on computation from the main processors to QuickLogic’s sensor hub.

Also available are other algorithms and software needed to meet the short design cycles that OEMs require. He said these algorithms can also be implemented in the ArcticLink 3 S1 silicon platform using QuickLogic’s Integrated Development Environment (IDE) tool, either stand-alone or in conjunction with OEM or 3rd party algorithms.

The ArcticLink 3 S1-based sensor hub platform, which is processor, sensor and algorithm agnostic, is also available for OEMs to customize via QuickLogic’s previously announced Integrated Development Environment (IDE).

To read more about sensor fusion techniques go to “Integrating sensor fusion into embedded designs.

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