20 citations · 25 across the 5 of their papers we have counts for
5 papers
Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
Shruthi K. Hiremath, Thomas Ploetz
Human Activity Recognition is a time-series analysis problem. A popular analysis procedure used by the community assumes an optimal window length to design recognition pipelines. H…
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
Megha Thukral, Sourish Gunesh Dhekane, Shruthi K. Hiremath +2
Human activity recognition (HAR) using ambient sensors in smart homes has numerous applications for human healthcare and wellness. However, building general-purpose HAR models that…
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…
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
Megha Thukral, Harish Haresamudram, Thomas Ploetz
The ubiquitous availability of smartphones and smartwatches with integrated inertial measurement units (IMUs) enables straightforward capturing of human activities. For specific ap…
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition
Shuai Shao, Yu Guan, Bing Zhai +2
Human activity recognition (HAR) is one of the core research themes in ubiquitous and wearable computing. With the shift to deep learning (DL) based analysis approaches, it has bec…