28 citations · 56 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
Siamese Networks for Weakly Supervised Human Activity Recognition
Taoran Sheng, Manfred Huber
Deep learning has been successfully applied to human activity recognition. However, training deep neural networks requires explicitly labeled data which is difficult to acquire. In…
ExtPerFC: An Efficient 2D and 3D Perception Hardware-Software Framework for Mobile Cobot
Tuan Dang, Khang Nguyen, Manfred Huber
As the reliability of the robot's perception correlates with the number of integrated sensing modalities to tackle uncertainty, a practical solution to manage these sensors from di…