Using a deep learning method and data from two-dimensional (2D) marker-less video-based images for walking speed classification

• Main Authors: Sikandar, Tasriva, Rabbi, Mohammad F., Kamarul Hawari, Ghazali, Altwijri, Omar, Alqahtani, Mahdi, Almijalli, Mohammed, Altayyar, Saleh, Ahamed, Nizam U.
• Format: Article
• Language: English
• Published: MDPI 2021
• Subjects: QC Physics; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/31696/1/Using%20a%20deep%20learning%20method%20and%20data%20from%20two.pdf; http://umpir.ump.edu.my/id/eprint/31696/; https://doi.org/10.3390/s21082836; https://doi.org/10.3390/s21082836
• Institution: Universiti Malaysia Pahang

Human body measurement data related to walking can characterize functional move ment and thereby become an important tool for health assessment. Single-camera-captured two dimensional (2D) image sequences of marker-less walking individuals might be a simple approach for estimating human body measure...