QuickLogic Powers up SenseMe Algorithm Library with New Gestures
SUNNYVALE, CA: Accurate and intuitive context and gesture sensing is key to the success of any wearable device. Demonstrating this technology edge, QuickLogic, a developer of low-power customizable semiconductor solutions, expanded its extensive SenseMe portfolio of much acclaimed sensor algorithms with addition of new user contexts and gestures.
The highlighted feature of the technology includes an enhanced low energy pedometer, a “swimming” context and a special “wake-up” gesture, which is optimized for smartwatches. The new swimming context improves fitness measurements with stroke tracking for freestyle swimming. Adding to its already existing running and biking contexts in SenseMe library, the new swimming context enables OEMs to support a full triathlon user mode.
The new low energy pedometer algorithm is competent enough to capture tough motions like slow and gentle steps with even more enhanced accuracy. It manifests its services on SenseMe library’s best-in-class pedometer.
The application is comprised of SenseMe algorithms and the ArcticLink 3 S2 ultra-low power sensor hub ensuring a consistent experience for device OEMs, and facilitates the large group of Android developers to create distinctive, product-differentiating applications and use cases.
This sensor processing solution is tested and validated as being compliant with Android CTS 5.1. Regarded as an important element in smartwatch designs, the SenseMe algorithm library leverages OEMs “wake up” gesture choices that are intended for specific use cases. The advanced wake up gesture turns on the display when it senses a sequence of movements; which could be the user raising hand from the side, rotating from the side and then pausing.