WiWrite: Wi-Fi Based Handwriting Recognition like Playing Lego

摘要

Effective finger writing underpins semantic text input task for virtual reality applications. We demonstrate WiWrite, a novel finger writing system that leverages the ubiquitous wireless signals to enable character recognition and word estimation. WiWrite decomposes characters into basic strokes and distinguishes them by exploring the unique signal reflection pattern caused by finger movements. Apart from the prior arts relying on specialized sensors or wearable devices, WiWrite is device-free without any accessories in deed. Our real-world experiments in two different scenarios show that WiWrite succeeds in classifying 26 upper-case alphabets with 90.8% average accuracy and recognizing simple words with an average accuracy of 96.7%.