Charoenporn Bouyam earned a B.Sc. in Management Information Systems and an M.Sc. in the Management of Information Technology from Walailak University, Thailand, in 2013 and 2011, respectively. He is currently pursuing a Ph.D. in Health Science at Walailak University, Thailand. He serves as an Assistant Professor at the School of Informatics at Walailak University, Thailand. His research interests encompass human–machine interfaces, brain–computer interfaces, assistive technology, and medical information systems.

Nannaphat Siribunyaphat earned a B.Eng. in Electronics and Computer System Engineering and an M.Eng. in Electrical and Computer Engineering from Silpakorn University, Thailand, in 2016 and 2020, respectively. She completed her Ph.D. in the Management of Information Technology at Walailak University, Thailand, in 2023. Currently, she serves as a lecturer at the School of Informatics, Walailak University, Thailand. Her research interests encompass biomedical signal analysis, brain–computer interfaces, and IoT.

Dollaporn Anopase earned her B.Eng and M.Eng degrees in Biomedical Engineering from Mahidol University, Thailand, in 2013 and 2015, respectively. She completed her Ph.D. in Mechanical and Aerospace Engineering (MAE) at Nanyang Technological University. She is a lecturer in the Department of Parasitology at the Faculty of Medicine, Siriraj Hospital, Biodesign Innovation Center, Mahidol University, Bangkok, Thailand. Her research interests encompass rehabilitation robotics, brain–computer interfaces, EEG signal processing, and artificial neural networks.

May Thu graduated with honors from Hmawbi Technology University in Hmawbi, Yangon, Myanmar, in 2012; Yangon Technology University in Yangon, Myanmar, in 2014; and Prince of Songkla University in Hat Yai, Thailand, in 2021 with a Ph.D. in computer engineering. She is an Assistant Professor at the Cambodia University of Technology and Science (CamTech) in Phnom Penh, Cambodia, in the Faculty of Engineering. She is interested in researching artificial intelligence, cognitive science, deep learning, machine learning, human behavior analysis, machine vision, and image processing.

Yunyong Punsawad received a B.Eng. degree in Electrical Engineering from Suranaree University of Technology, Thailand, in 2007, and M.Eng. and Ph.D. degrees in Biomedical Engineering from Mahidol University, Thailand, in 2010 and 2016, respectively. He is currently an Associate Professor of Biomedical Engineering at the School of Informatics, Walailak University, Thailand. His research interests include biomedical signals, brain–computer interfaces, human–machine interfaces, and assistive technology.