New Apple Study Shows LLMs Can Tell What You're Doing from Audio and Motion Data
8 hours ago
- #Activity Recognition
- #LLM
- #Sensor Data
- Apple researchers explore using LLMs to analyze audio and motion data for better user activity recognition.
- LLMs show potential in improving activity analysis precision, even with limited sensor data.
- Study uses Ego4D dataset, focusing on 12 diverse activities like household tasks and sports.
- LLMs achieve significant accuracy in zero- and one-shot classification without task-specific training.
- Combining multiple models enhances activity and health data analysis, especially with insufficient raw sensor data.
- Apple provides supplemental materials for researchers to reproduce the study's results.