基于智能手机传感器的用户行为识别综述
首发时间:2017-09-12
摘要:随着传感器技术的发展和手机计算能力的提升,基于智能手机传感器的用户行为识别成为近年来的研究热点。用户行为识别以手机传感器原始数据作为输入,通过识别算法预测用户的运动行为。它在健康和运动监测、用户生物特征签名、城市计算、残障人士辅助、老年看护以及室内定位等领域的手机应用中发挥着重要作用。本文对近年来用户行为识别的技术发展和面临的主要问题进行了深入的调查研究。本文先对手机传感器、用户行为等基本概念进行了详细的阐述,接着对用户行为识别的流程和用到的关键技术进行了总结,然后分析了用户行为识别面临的主要挑战和相应的一些解决方案,最后对用户行为识别在未来的发展进行了展望。
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Survey of user behavior recognition based on smartphone sensors
Abstract:With the development of sensor technology and the enhancement of mobile phone computing capability, user behavior recognition based on smartphone sensors has become a hot research topic in recent years. User behavior recognition takes raw sensor data of mobile phone as input, and identifies the user\'s motion behavior by recognition algorithm. It plays an important role in the applications which is related to health and fitness monitoring, personal biometric signature, urban computing, assistive technology, elder-care and indoor localization. This paper makes a thorough survey of the technology development and the main problems faced by user behaviour recognition in recent years. This paper starts with the basic concepts such as sensors and user behaviour. Then the process and key technology of user behaviour recognition are summarized, followed by the analysis of the main challenges behind the user behavior recognition and corresponding solutions. Finally, the future development of user behavior identification is prospected..
Keywords: sensors smartphones behavior recognition data mining
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