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Ambulatory Gait Analysis with Accelerometer on Smart Phone

机译:智能手机上带有加速度计的步行步态分析

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摘要

Gait analysis has been used to investigate gait features in the clinical field and to monitor activities in daily-living. MEMS (micro electro-mechanical system) inertial sensors such as accelerometers and gyroscopes are suitable for ambulatory human motion analysis because they are small, light, and cheap. Smart phones have many advantages such as built-in accelerometers, magnetometers, and wireless communication. In this study, an ambulatory gait analysis method using an accelerometer in a smart phone is presented. The smart phone is attached to a subject's lower trunk. The accelerometer signals are transmitted via Bluetooth and saved on a PC. Foot contacts are detected by the peak of the forward acceleration signal, and the supporting leg is determined from the sign of the mediolateral displacement or mediolateral acceleration. This method is verified using an optical motion capture system for sampled gait steps. The feasibility is evaluated using the walking patters of five young, healthy subjects. Several specific topics regarding a smart phone's application to gait analysis are addressed. This study shows the feasibility of using a smart phone to analyze gait parameters.
机译:步态分析已用于研究临床领域中的步态特征并监测日常活动。诸如加速度计和陀螺仪之类的MEMS(微机电系统)惯性传感器体积小,重量轻且价格便宜,因此适合于动态人体运动分析。智能手机具有许多优势,例如内置加速度计,磁力计和无线通信。在这项研究中,提出了一种在智能手机中使用加速度计的步行步态分析方法。智能手机连接到对象的下部后备箱。加速度计信号通过蓝牙传输并保存在PC上。通过向前加速度信号的峰值检测到脚部接触,并根据内侧位移或内侧加速度的信号确定支撑腿。使用光学运动捕获系统对步态进行采样,可以验证该方法。使用五个年轻健康受试者的步行模式来评估可行性。讨论了有关智能手机用于步态分析的几个特定主题。这项研究表明了使用智能手机分析步态参数的可行性。

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