5 papers
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them
Harish Haresamudram, Apoorva Beedu, Mashfiqui Rabbi +3
Cross-modal contrastive pre-training between natural language and other modalities, e.g., vision and audio, has demonstrated astonishing performance and effectiveness across a dive…
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes
Shruthi K. Hiremath, Thomas Ploetz
Developing human activity recognition (HAR) systems for smart homes is not straightforward due to varied layouts of the homes and their personalized settings, as well as idiosyncra…
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…
Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research
Harish Haresamudram, Hrudhai Rajasekhar, Nikhil Murlidhar Shanbhogue +1
The astonishing success of Large Language Models (LLMs) in Natural Language Processing (NLP) has spurred their use in many application domains beyond text analysis, including weara…
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…