Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition

With the proliferation of wearable devices in the Internet-of-Things applications, designing highly power-efficient solutions for continuous operation of these technologies in life-critical settings emerges. We propose a novel ultra-low power framework for adaptive compressed sensing in activity recognition. The proposed design uses a coarse-grained… (More)