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首页> 外文会议>Sensor, Mesh and Ad Hoc Communications and Networks Workshops, 2009. SECON Workshops '09 >The Virtual Trainer: Supervising Movements Through a Wearable Wireless Sensor Network
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The Virtual Trainer: Supervising Movements Through a Wearable Wireless Sensor Network

机译：虚拟教练员：通过可穿戴无线传感器网络监督运动

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Recent technological advances in integrated circuits, wireless communications, and physiological sensing have boosted the development of miniaturized, lightweight, ultra-low power, intelligent monitoring devices. A number of these devices can be integrated to form a wireless body area network (WBAN), a wireless sensor network whose devices, called motes, are positioned on the body of a person to monitor biometric parameters and vital signs. To this extent, the latest advances in mircoelectro mechanical systems (MEMS) technology have opened up the opportunity to realize miniaturized accelerometers, a sensing element that measures acceleration. The aim of the presented work is to showcase an integrated system to monitor execution of fitness and rehabilitation exercises and to provide a feedback to the user in order to correct errors and avoid hurts. The focus of our work is to analyze a simple fitness exercise like biceps curl by using a network of wireless sensors equipped with two-axes accelerometers. The sensed data from the acceleromenters is delivered to a PC which runs a graphical interface and a movement analyzer which returns in real-time the "goodness" of the performed exercise. Moreover, the analyzer also generates a more accurate analysis of the exercise which is returned to the user upon completion of the movement.
机译：集成电路，无线通信和生理感应的最新技术进步推动了小型化，轻便，超低功耗的智能监控设备的发展。这些设备中的许多设备可以集成在一起以形成无线人体局域网（WBAN），即一种无线传感器网络，其设备（称为微粒）位于人体上，以监控生物特征参数和生命体征。在此程度上，微机电系统（MEMS）技术的最新进展为实现微型加速度计（一种用于测量加速度的传感元件）提供了机会。提出的工作的目的是展示一个集成系统，以监视健身和康复锻炼的执行情况并向用户提供反馈，以纠正错误并避免伤害。我们的工作重点是通过使用配备有两轴加速度计的无线传感器网络来分析简单的健身运动，例如二头肌弯曲。来自加速器的感测数据被传送到PC，该PC运行图形界面和运动分析器，该分析器实时返回所执行锻炼的“好”状态。此外，分析器还生成对运动的更准确的分析，该运动在完成运动后返回给用户。

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