The automatic detection of chronic pain-related expression: requirements, challenges and a multimodal dataset
(2015)
Journal Article
Aung, M. S., Kaltwang, S., Romera-Paredes, B., Martinez, B., Singh, A., Cella, M., Valstar, M. F., Meng, H., Kemp, A., Shafizadeh, M., Elkins, A., Kanakam, N., Rothschild, A. D., Tyler, N., Watson, P. J., Williams, A. C. D. C., Pantic, M., & Bianchi-Berthouze, N. (2015). The automatic detection of chronic pain-related expression: requirements, challenges and a multimodal dataset. IEEE Transactions on Affective Computing, 99, https://doi.org/10.1109/TAFFC.2015.2462830
Pain-related emotions are a major barrier to effective self rehabilitation in chronic pain. Automated coaching systems capable of detecting these emotions are a potential solution. This paper lays the foundation for the development of such systems by... Read More about The automatic detection of chronic pain-related expression: requirements, challenges and a multimodal dataset.