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An Untagged Human Hand Motion Classification by Pyroelectricity

Chun-Ching Hsiao
Department of Mechanical Design Engineering, National Formosa University, No. 64, Wunhua Rd., Huwei Township, Yunlin County 632, Taiwan
Abstract—Pyroelectric sensors are the most suitable for detecting human motions because they are sensitive to human motions induced variances in the infrared radiation. A pyroelectric sensor array is designed and used to build an event-time sequence in an infrared radiation domain. Then, the sequence is used to contrast with a password sequence for further recognizing human hand motions. This is applied on the intelligent life for controlling doors to open or close as a pyroelectric lock. For estimating the functions of the pyroelectric lock, six password sequences are used to control the proposed device via discreet manipulation of six persons. The experimental results verify the feasibility and efficacy of the proposed design. The false recognition is lower than 2%.
Index Terms—pyroelectricity, human hand motion, pyroelectric infrared sensors, thermal vision

Cite: Chun-Ching Hsiao, "An Untagged Human Hand Motion Classification by Pyroelectricity," International Journal of Electronics and Electrical Engineering, Vol. 4, No. 5, pp. 426-429, October 2016. doi: 10.18178/ijeee.4.5.426-429
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