Computer Science ›› 2017, Vol. 44 ›› Issue (12): 287-291.doi: 10.11896/j.issn.1002-137X.2017.12.052

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Study on Spatial-Temporal Multiscale Adaptive Method of Gesture Recognition

WANG Hai-peng, GONG Yan, LIU Wu, LI Ze and ZHANG Si-mei   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Human gesture is a natural and efficient way of human computer interaction.It has wide applications in smart home and intelligent transportation.The gestures with identical semantic may have multiple presentations in temporal and spatial dimensions,due to its derivatives on gesture speed,spatial constrains,and the user demographics.All of these bring a significant challenge to the recognition precision.This article presented a novel dynamic time warping(DTW) based recognition approach——spatial-temporal dynamic time warping(SDTW),which applies a decentralized slot method to achieve both adaptiveness to spatial and temporal multi-scale.A smartphone-based prototype system is developed,which exploits the accelerometer to capture the gesture and applies SDTW to do gesture recognition.The experiment shows that the SDTW can promote the recognition precision effectively.

Key words: Gesture recognition,Gesture interaction,DTW,SDTW,Spatial-temporal scale

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