Publications

P. Autthasan, P. Sukontaman, T. Wilaiprasitporn and S. Sangnark, “HeartRhythm: ECG-Based Music Preference Classification in Popular Music,” 2023 IEEE SENSORS, Vienna, Austria, 2023, pp. 1-4. [Paper] [Poster]

B. Leelakittisin, M. Trakulruangroj, S. Sangnark, T. Wilaiprasitporn, and T. Sudhawiyangkul, “Enhanced lightweight CNN using joint classification with averaging probability for sEMG-based subject-independent hand gesture recognition,” IEEE Sensors Journal, pp. 1–1, 2023. [Paper]

R. Assabumrungrat, S. Sangnark, T. Charoenpattarawut, W. Polpakdee, T. Sudhawiyangkul, E. Boonchieng, and T. Wilaiprasitporn, “Ubiquitous Affective Computing: A Review,” in IEEE Sensors Journal, vol. 22, no. 3, pp. 1867-1881, 1 Feb.1, 2022. [Paper]

S. Sangnark, P. Autthasan, P. Ponglertnapakorn, P. Chalekarn, T. Sudhawiyangkul, M. Trakulruangroj, S. Songsermsawad, R. Assabumrungrat, S. Amplod, K. Ounjai, and T. Wilaiprasitporn, “Revealing Preference in Popular Music Through Familiarity and Brain Response,” in IEEE Sensors Journal, vol. 21, no. 13, pp. 14931-14940, 2021. [Paper] [Video] [Dataset]

S. Sangnark, M. Lertwatechakul, and C. Benjangkaprasert, “Thai music emotion recognition based on Western music,” Journal of Physics: Conference Series, vol. 1195(1), pp. 1-5, 2019. [Paper]

S. Sangnark, M. Lertwatechakul, and C. Benjangkaprasert, “Thai music emotion recognition based on linear regression,” in Proc. of the Int. Conf. on Automation, Control and Robot, Bangkok, Thailand, pp. 62-66, 2018. [Paper]

Poster

W. Polpakdee, S. Sangnark, S. Noisagool, and T. Wilaiprasitporn, EDA-based music preference classification, Senior project, Mahidol University, 2022. Best poster award of university

Thesis

S. Sangnark, Thai music emotion recognition based on Western music (written in Thai), Master thesis, 2019. [Link]