Human activity recognition based on wrist PPG via the ensemble method

• Main Authors: Almanifi, Omair Rashed Abdulwareth, Ismail, Mohd Khairuddin, Mohd Azraai, Mohd Razman, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed
• Format: Article
• Language: English
• Published: Korean Institute of Communication Sciences 2022
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/35111/1/Human%20activity%20recognition%20based%20on%20wrist%20PPG%20via%20the%20ensemble%20method.pdf; http://umpir.ump.edu.my/id/eprint/35111/; https://doi.org/10.1016/j.icte.2022.03.006; https://doi.org/10.1016/j.icte.2022.03.006

Human activity recognition via Electrocardiography (ECG) and Photoplethysmography (PPG) is extensively researched. While ECG requires less filtering and is less prone to disturbance and artifacts, nonetheless, PPG is cheaper and widely available in smart devices, making it a desired alternative. In...