Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition

• Published in: IEEE transactions on circuits and systems for video technology Vol. 32; no. 8; pp. 5281 - 5292
• Main Authors: Shu, Xiangbo, Yang, Jiawen, Yan, Rui, Song, Yan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Activity recognition; Elderly activity recognition; Excitation; Feature extraction; Fuses; fusion network; Hair; multi-modal fusion; Older adults; Older people; Skeleton; Task analysis; Video; Videos

This work focuses on the task of elderly activity recognition, which is a challenging task due to the existence of individual actions and human-object interactions in elderly activities. Thus, we attempt to effectively aggregate the discriminative information of actions and interactions from both RG...