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HANDIO: A wireless hand gesture recognizer based on muscle-tension and inertial sensing
Conference paper

HANDIO: A wireless hand gesture recognizer based on muscle-tension and inertial sensing

Jun Luan, Ting-Chou Chien, Seungjae Lee and Pai H. Chou
2015 IEEE Global Communications Conference, GLOBECOM 2015, 7417448
2015

Abstract

Accelerometers Optical sensors Sensor fusion Wireless sensor networks Computer Networks and Communications Electrical and Electronic Engineering Communication
This paper describes a miniature, wearable wireless hand- gesture recognition (HGR) system called HANDIO. It obtains its input from not only traditional inertial sensors but also a muscle tension sensor (MTS). The addition of MTS enables recognition of a much broader range of intuitive hand gestures, particularly those involving the wrist, that would otherwise be difficult to distinguish by traditional inertial-only HGRs. Among MTSs, we choose an optical MTS over the conventional surface electromyography (sEMG) for the small size, low power consumption, wearing comfort, and good detection rate. This novel miniaturized design enables the whole system to be easily patched on the wrist area or integrated into a wearable device such as a wristband or watch without extra wiring. Experimental results show that a total of 8 hand gestures involving the wrist can be recognized with a detection rate over 93%. The average power consumption of the optical sensor is only around 258μW. This versatile system can also be used to detect other joint activities such as the elbow and knee joint.

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