计算机工程与应用2018，Vol.54Issue(2)：239-245,7.DOI:10.3778/j.issn.1002-8331.1608-0081
使用超声波的智能手机手势识别
摘要
Abstract
With the rapid development of smart phones,people's life has been improved.User experience of mobile device can be improved in many scenarios with the assist of in-air gesture recognition.In this paper,AGRS,an in-air ges-ture recognition system that can be applied to off-the-shelf smart devices is proposed.In AGRS,the loudspeaker is used to emit a continuous 20 kHz tone and the microphone is used to receive the gesture-reflecting ultrasonic wave.AGRS can recognize the position of mobile device by the gyroscope.After the gesture has been separated from noise,AGRS adapts CFAR algorithm.The characteristic of ultrasonic can be extracted by using the Doppler shift and be handled by FFT con-version.Finally,suitable classifier has been chosen to recognize gestures of AGRS.The experimental results demonstrate that AGRS is able to achieve gesture recognition accuracy of above 95%.关键词
超声波/手势识别/多普勒效应Key words
ultrasonic/gesture recognition/Doppler分类
信息技术与安全科学引用本文复制引用
徐曾春,吴凯娇,胡平..使用超声波的智能手机手势识别[J].计算机工程与应用,2018,54(2):239-245,7.基金项目
江苏省重点研发计划(社会发展)(No.BE2015697). （社会发展）
