Wearable Sensor Networks for Interactive Applications

本研究项目针对佩戴惯性测量传感器的人体进行可穿戴式多传感器活动识别与验证。身体区域传感器网络(BASN)包括使用各种传感器来持续监测个体的生理或生物力学状态。微电子机械系统(MEMS)的发展使得传感器的尺寸大大缩小，新的无线通信协议使得可穿戴式传感器变得轻便和实用。BASN可以在许多潜在领域发挥关键作用。这些应用包括鼓励锻炼、军事应用、体育训练、安全认证、个人信息共享以及各种娱乐应用。一个密集的研究领域是在医疗保健中使用BASN。在这里，它们可以提供大量的功能，如跌倒检测、远程监控、物理治疗和后天脑损伤恢复。该计划的短期目标是解决多传感器模式识别方面的关键挑战，以及以补充或确认的方式在这些模式匹配应用中汇聚生物力学和生物物理数据。这项研究的长期目标是在下一代及以后为可穿戴无线传感器网络技术的进步做出贡献。这项拟议研究产生的技术有可能对医疗保健和个人培训行业产生重大影响。拟议的研究成果还具有直接向加拿大工业进行商业化和技术转让的巨大潜力。科学的方法将基于完善的研究原则，包括文献调查、模式匹配技术结合广泛的分析和应用评估。这项研究将培养一批高素质的研究生和本科生人才，以满足加拿大日益增长的信息和通信技术行业的需要。

This research program investigates wearable multi-sensor activity recognition and verification for humans wearing inertial measurement sensors. A body area sensor network (BASN) involves the use of various sensors to continuously monitor the physiological or biomechanical state of an individual. The development of Micro-Electro Mechanical Systems (MEMS) allow sensor sizes to be greatly reduced and newer wireless communication protocols allow wearable sensors to lightweight and practical. There are a wide range of potential areas where BASNs could play a key role. These include encouraging exercise, military applications, sports training, secure authentication, personal information sharing as well as a variety of entertainment applications. An area of intense research is in using BASNs in health care. Here they could serve a huge number of functions such as fall detection, remote monitoring, physiotherapy and recovery from acquired brain injury. The short term objectives of this program are to address key challenges in multi-sensor pattern recognition and the convergence of biomechanical and biophysical data in these pattern matching applications in either a complementary or confirmatory manner. The long term objective of this research is to contribute to the advancement of wearable wireless sensor network technologies through the next generation and beyond. The technologies resulting from the proposed research have the potential of making significant impact on the health care and personal training industries. The outcome of the proposed research also has significant potential for commercialization and technology transfer directly to the Canadian industry. The scientific approach will be based on sound research principles involving literature survey, pattern matching techniques combined with extensive analysis and application evaluation. The research will prepare a number of highly qualified personnel at the postgraduate and undergraduate level to serve the needs of the growing information and communications technologies industry in Canada.