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Sensors 2018, 18(6), 1677;

Real-Time Hand Position Sensing Technology Based on Human Body Electrostatics

State Key Laboratory of Mechatronics Engineering and Control, Beijing Institute of Technology, Beijing 100081, China
Author to whom correspondence should be addressed.
Received: 10 April 2018 / Revised: 17 May 2018 / Accepted: 17 May 2018 / Published: 23 May 2018
(This article belongs to the Special Issue Innovative Sensor Technology for Intelligent System and Computing)
PDF [5495 KB, uploaded 4 June 2018]


Non-contact human-computer interactions (HCI) based on hand gestures have been widely investigated. Here, we present a novel method to locate the real-time position of the hand using the electrostatics of the human body. This method has many advantages, including a delay of less than one millisecond, low cost, and does not require a camera or wearable devices. A formula is first created to sense array signals with five spherical electrodes. Next, a solving algorithm for the real-time measured hand position is introduced and solving equations for three-dimensional coordinates of hand position are obtained. A non-contact real-time hand position sensing system was established to perform verification experiments, and the principle error of the algorithm and the systematic noise were also analyzed. The results show that this novel technology can determine the dynamic parameters of hand movements with good robustness to meet the requirements of complicated HCI. View Full-Text
Keywords: real-time hand positioning; non-contact HCI; electrostatics field real-time hand positioning; non-contact HCI; electrostatics field

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Tang, K.; Li, P.; Wang, C.; Wang, Y.; Chen, X. Real-Time Hand Position Sensing Technology Based on Human Body Electrostatics. Sensors 2018, 18, 1677.

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