Automated Pain Assessment using Video Masked Autoencoder Architecture | Tristram Dacayan
Automated Pain Assessment using Video Masked Autoencoder Architecture
Tristram Dacayan, RISS 2023 Cohort
Carnegie Mellon University
Robotics Institute Summer Scholars: https://riss.ri.cmu.edu/
Medical professionals require reliable pain assessment to treat various disorders and injuries properly. They use the Visual Analog Scale (VAS) or the Numerical Rating Scale (NRS) for pain intensity measurement to assess patients’ conditions properly. Although these assessment metrics are considered the clinical standard, it is not possible to be certain that all individuals use the scales in the same way. Nonverbal changes in patients' facial appearance in reaction to pain are a reliable alternative to subjective self-reported pain. We propose to use the Video Masked Autoencoder (Video MAE) for automated pain assessment from video. Using the UNBC McMaster Shoulder Pain Expression Archive, we developed a simple training pipeline that uses the Video MAE architecture for pain intensity measurement. Although our model's training is ongoing, the current training results are promising and allude to the model's increased training efficiency.
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The Robotics Institute Summer Scholars (RISS) Program at Carnegie Mellon University's School of Computer Science
Carnegie Mellon University’s Robotics Institute is committed to opening doors and creating opportunities for future leaders in robotics. Carnegie Mellon University is home to the top-ranked School of Computer Science, the world’s first university robotics department, the world’s first Ph.D. in robotics, and the largest university-affiliated robotics research group. Launched in 2006, CMU’s Robotics Institute Summer Scholars (RISS) program (http://riss.ri.cmu.edu/)comprises a ten-week summer undergraduate research program that immerses a diverse cohort of scholars in cutting-edge robotics and extensive post-program mentoring. The program provides opportunities for students from across the country and the world to conduct research with leaders in the field. The program aspires to foster a diverse and inclusive working and learning environment where all students enjoy the educational benefits of diversity and are actively welcomed, included, and supported by the community. The quality and breadth of research, high level of institute and university engagement, and powerful professional development programming, graduate school application counseling, and alumni network create transformative experiences and remarkable post-program trajectories.
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