Towards miniaturization of a MEMS-based wearable motion capture system

Carmen M N Brigante*, Nunzio Abbate, Adriano Basile, Alessandro Carmelo Faulisi, Salvatore Sessa


    研究成果: Article査読

    180 被引用数 (Scopus)


    This paper presents a modular architecture to develop a wearable system for real-time human motion capture. The system is based on a network of smart inertial measurement units (IMUs) distributed on the human body. Each of these modules is provided with a 32-bit RISC microcontroller (MCU) and miniaturized MEMS sensors: three-axis accelerometer, three-axis gyroscopes, and three-axis magnetometer. The MCU collects measurements from the sensors and implement the sensor fusion algorithm, a quaternion-based extended Kalman filter to estimate the attitude and the gyroscope biases. The design of the proposed IMU, in order to overcome the problems of the commercial solution, aims to improve performance and to reduce size and weight. In this way, it can be easily embedded in a tracksuit for total body motion reconstruction with considerable enhancement of the wearability and comfort. Furthermore, the main achievements will be presented with a performance comparison between the proposed IMU and some commercial platforms.

    ジャーナルIEEE Transactions on Industrial Electronics
    出版ステータスPublished - 2011 8月

    ASJC Scopus subject areas

    • 電子工学および電気工学
    • 制御およびシステム工学
    • コンピュータ サイエンスの応用


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