5 citations · 8 across the 4 of their papers we have counts for
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cs.CV2022★ 1 cited
Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data
Zikang Leng, Yash Jain, Hyeokhyen Kwon +1
Previous work has demonstrated that virtual accelerometry data, extracted from videos using cross-modality transfer approaches like IMUTube, is beneficial for training complex and…
eess.SP2022★ 5 cited
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
Harish Haresamudram, Irfan Essa, Thomas Plötz
The emergence of self-supervised learning in the field of wearables-based human activity recognition (HAR) has opened up opportunities to tackle the most pressing challenges in the…