28 citations · 60 across the 5 of their papers we have counts for
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cs.LG2025★ 4 cited
Reducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches
Taoran Sheng, Manfred Huber
Human activity recognition (HAR) using wearable sensors has advanced through various machine learning paradigms, each with inherent trade-offs between performance and labeling requ…
cs.LG2023★ 28 cited
Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables
Taoran Sheng, Manfred Huber
Sensor data streams from wearable devices and smart environments are widely studied in areas like human activity recognition (HAR), person identification, or health monitoring. How…
cs.LG2023★ 6 cited
Unsupervised Embedding Learning for Human Activity Recognition Using Wearable Sensor Data
Taoran Sheng, Manfred Huber
The embedded sensors in widely used smartphones and other wearable devices make the data of human activities more accessible. However, recognizing different human activities from t…