3 citations · 5 across the 3 of their papers we have counts for
3 papers
IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
Zikang Leng, Amitrajit Bhattacharjee, Hrudhai Rajasekhar +4
One of the primary challenges in the field of human activity recognition (HAR) is the lack of large labeled datasets. This hinders the development of robust and generalizable model…
On the Benefit of Generative Foundation Models for Human Activity Recognition
Zikang Leng, Hyeokhyen Kwon, Thomas Plötz
In human activity recognition (HAR), the limited availability of annotated data presents a significant challenge. Drawing inspiration from the latest advancements in generative AI,…
Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition
Zikang Leng, Hyeokhyen Kwon, Thomas Plötz
The development of robust, generalized models in human activity recognition (HAR) has been hindered by the scarcity of large-scale, labeled data sets. Recent work has shown that vi…