Software library broadens for wearables
Algorithms have been added to the SenseMe Sensor Algorithm Library, by QuickLogic. The algorithms, coupled with the company’s sensor hub silicon platforms and reference designs, enable designers of smartphone and wearable devices to expand device capabilities and features. This dramatically shortens design time, promises the company, while lowering risk, and improve battery life and data accuracy.
Algorithms now available are for low latency context determination- when the user is in a car or on a bicycle; and fitness/wellness tracking capabilities for on-demand heart rate monitoring (HRM). There are also advanced pedometer functions, and sleep analysis. The pedometer provides step counting for slow cadence, normal walking, and fast walking as well as running; while the sleep analysis algorithm furnishes information on light sleep, deep sleep, and awake modes. OEMs benchmarks show the pedometer consistently delivers 97%+ accuracy.
The algorithms allow design teams to interpret data from sensors, including inertial, magnetic, biological, proximity and light sensors, to determine the user’s activity status and context.
The company’s ArcticLink 3 S2 and SenseMe algorithms are compatible with the Android OS including KitKat 4.4, Lollipop 5.0, and RTOS-based systems. Standard Android drivers are also available.
The ArcticLink 3 S2 platform can be customised to suit customer requirements through its Integrated Development Environment (IDE) and reference designs.
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