Wahyu Dwi Lestari, Papat Hidayatulloh, Kadek Heri Sanjaya, Artha Ivonita Simbolon, Muslimah Dirayati, Dika Setiawan
Walking speed provides a useful indicator of individual health. Walking speed measurement is usually conducted manually using a stopwatch. In this paper, we develop a microcontroller-based automatic walking speed measuring device (WSMD) which incorporates two infrared photo-detectors. Time measurement accuracy of the proposed device was kept within ± 1 ms by employing a dedicated counter circuit. In this study, 48 data points of walking speed from four subjects (with three repeated measurements from each subject) have been obtained using the proposed WSMD device, stopwatches operated by two observers, and Perception Neuron Accelerometer Suit (PNAS) device. The proposed WSMD shows higher linearity and precision and lower measurement bias over repeated measurement compared to manual measurement using stopwatches. Additionally, the proposed device shows a good correlation with the PNAS device indicated by an R-square value of 0.967 and p-value of 0.981. © 2024 IEEE.
University of Pembangunan Nasional Veteran Jawa Timur, Department of Mechanical Engineering, Surabaya, Indonesia; Research Center for Smart Mechatronics, National Research and Innovation Agency (BRIN), Bandung, Indonesia, Indonesia; Sumatera Institute of Technology, Department of Biomedical Engineering, Bandar Lampung, Indonesia