Investigation on the Effect of Different Window Size in Segmentation for Common Sport Activity

• Published in: 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) pp. 1 - 7
• Main Authors: Ghazali, Nurul Fathiah, As'ari, Muhammad Amir, Shahar, Norazman, Latip, Hadafi Fitri Mohd
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2018
• Subjects: Activity recognition; classification; common sport activity recognition; Conferences; Data mining; Feature extraction; inertial sensor; Microsoft Windows; performance evaluation; segmentation; Sports; Support vector machines; Window size

Signal segmentation is one of the most important processes in the activity recognition process. So far, windowing approaches is one of the commonly used segmentation technique to segment the data. The window size used to segment the data usually chosen based on the previous study and the effect of t...