Walking Motion Real-time Detection Based on Walking Stick Equipped with MPU and Raspberry Pi*
Title: Walking Motion Real-time Detection Based on Walking Stick Equipped with MPU and Raspberry Pi*
Authors: Junyi Wang (Department of Computer Science, Loughborough University); Mohamad Saada (Department of Computer Science, Loughborough University); Haibin Cai (Department of Computer Science, Loughborough University); Qinggang Meng (Department of Computer Science, Loughborough University);
Year: 2019
Citation: Wang, J., Saada, M., Cai, H., Meng, Q., (2019). Walking Motion Real-time Detection Based on Walking Stick Equipped with MPU and Raspberry Pi*. UK-RAS19 Conference: “Embedded Intelligence: Enabling & Supporting RAS Technologies” Proceedings, 118-120. doi: 10.31256/UKRAS19.32
Abstract:
This paper proposes walking motion real-time detection by employing intelligent walking stick which includes MPU 6050, portable power and Raspberry pi zero w embedded with machine learning algorithms. Firstly, several types of walking motion data are collected by utilizing the walking stick. These walking motion types include fast walking, slow walking, turning left, turning right and stopping. Secondly, the machine learning classifiers can be obtained by training the collected data set. After that, the accuracy rate comparison among these classifiers are given by utilizing the testing data. Finally, the classifiers are embedded into the Raspberry pi zero w to detect walking motion in real time.