Domain knowledge-informed self-supervised representations for workout form assessment

P Parmar, A Gharat, H Rhodin - European Conference on Computer …, 2022 - Springer
Maintaining proper form while exercising is important for preventing injuries and maximizing
muscle mass gains. Detecting errors in workout form naturally requires estimating human's …

Dyadic affect in parent-child multimodal interaction: Introducing the dami-p2c dataset and its preliminary analysis

H Chen, S Alghowinem, SJ Jang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
High-quality parent-child conversational interactions are crucial for children's social,
emotional, and cognitive development. However, many children have limited exposure to …

Survey of Automated Methods for Nonverbal Behavior Analysis in Parent-Child Interactions

B Karaca, AA Salah, J Denissen… - 2024 IEEE 18th …, 2024 - ieeexplore.ieee.org
Social interactions are fundamental for human beings, motivating the abundance of studies
into the behavioral correlates of constructs such as personality and relationship. The primary …

Pose uncertainty aware movement synchrony estimation via spatial-temporal graph transformer

J Li, A Bhat, R Barmaki - … of the 2022 International Conference on …, 2022 - dl.acm.org
The concept of movement synchrony is derived from the scientific study of interacting dyads
in the autism field. Automated movement synchrony estimation has been achieved by …

Social visual behavior analytics for autism therapy of children based on automated mutual gaze detection

Z Guo, V Chheang, J Li, KE Barner, A Bhat… - Proceedings of the 8th …, 2023 - dl.acm.org
Social visual behavior, as a type of non-verbal communication, plays a central role in
studying social cognitive processes in interactive and complex settings of autism therapy …

Visual feedback and guided balance training in an immersive virtual reality environment for lower extremity rehabilitation

S Segear, V Chheang, L Baron, J Li, K Kim… - Computers & …, 2024 - Elsevier
Balance training is essential for physical rehabilitation procedures, as it can improve
functional mobility and enhance cognitive coordination. However, conventional balance …

New methods for unraveling imitation accuracy differences between children with autism and typically developing peers

L Sparaci, D Formica, FR Lasorsa… - … and Motor Skills, 2022 - journals.sagepub.com
This study applies methods used in sign language and gesture research to better
understand reduced imitation accuracy (IA) of actions and gestures in children with autism …

Joint engagement classification using video augmentation techniques for multi-person human-robot interaction

Y Kim, H Chen, S Alghowinem, C Breazeal… - arXiv preprint arXiv …, 2022 - arxiv.org
Affect understanding capability is essential for social robots to autonomously interact with a
group of users in an intuitive and reciprocal way. However, the challenge of multi-person …

Dyadic Movement Synchrony Estimation Under Privacy-preserving Conditions

J Li, A Bhat, R Barmaki - 2022 26th International Conference on …, 2022 - ieeexplore.ieee.org
Movement synchrony refers to the dynamic temporal connection between the motions of
interacting people. The applications of movement synchrony are wide and broad. For …

Joint engagement classification using video augmentation techniques for multi-person HRI in the wild

Y Kim, H Chen, S Algohwinem, C Breazeal… - Proceedings of the 2023 …, 2023 - dl.acm.org
Affect understanding capability is essential for social robots to autonomously interact with a
group of users in an intuitive and reciprocal way. However, the challenge of multi-person …