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Wearable Inertial and Bio-signal Device for Real-time Swimmer's Monitoring

机译:可穿戴惯性和生物信号装置,用于实时游泳运动员的监控

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There is a growing interest on wearable devices to monitor health during sport activities. These devices may be used only for monitoring purposes or allow coaches to evaluate the athlete's biological signals and physical performance. In many sports, the acquired data is available for the user, but also can be monitored in real time by the technical staff, by using some type of communication. Nevertheless, in sports like swimming commonly the acquired data is stored in the portable device and analyzed only after the training session, due to the transmission issues related to the harsh environment of the pool. In this paper we propose a novel system that allows the technical staff to monitor and analyze the swimmer's inertial (AHRS) and bio-signals (heart rate and pulse oximetry) in real time. To this aim, two radiofrequency communications systems were used, one at 5.3kHz for the heart rate sensor and another at 433MHz to communicate with the base station outside the swimming pool. This communication has been tested successfully for all swimming styles, turns and at various deep levels in the underwater phase. Additionally, a computational application shows, in real time, the sensors information, as well as few additional information processed using machine learning algorithms, like swimming style, turns, average speed and stroke counting. Unlike the common systems, the proposed device effectively yields immediate feedback to the swimmers based on the real time data analysis, which can be given by the coach or automatically by a haptic actuator in the wearable device.
机译:穿戴设备的兴趣日益增长,以监测运动活动期间的健康状况。这些设备只能用于监测目的或允许教练来评估运动员的生物信号和物理性能。在许多运动中,所获得的数据可供用户使用,但也可以通过使用某种类型的通信来实时监控技术人员。然而,在游泳中的运动中,由于与池的恶劣环境相关的传输问题,所获取的数据通常存储在便携式设备中并仅在培训会话之后分析。在本文中,我们提出了一种新颖的系统,可以实时监测和分析游泳者的惯性(AHRS)和生物信号(心率和脉搏血液血管)。为此目的,使用了两个射频通信系统,为心率传感器的5.3kHz,另一个处于433MHz,与游泳池外的基站通信。此通信已成功测试所有游泳风格,转弯和水下阶段的各种深度。另外,计算应用程序实时显示传感器信息,以及使用机器学习算法处理的额外信息,如游泳风格,转弯,平均速度和笔划计数。与公共系统不同,所提出的设备基于实时数据分析有效地产生与游泳运动员的立即反馈,该实时数据分析可以由支架或可穿戴设备中的触觉致动器自动给出。

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