helpResearch questionCare, Health, and Task-Step Activity RecognitionHow can accelerometer data identify nurses' complex care activities?UbiComp '21Feature-based Method for Nurse Care Complex Activity Recognition from Accelerometer Sensor
helpResearch questionCare, Health, and Task-Step Activity RecognitionHow can human activity recognition (HAR) address sensor signal limitations and behavioral diversity to improve task-step tracking accuracy?UbiComp '24Unified Framework for Procedural Task Assistants powered by Human Activity Recognition
helpResearch questionCare, Health, and Task-Step Activity RecognitionHow can a general and modular task support framework be designed in multi-task, multi-sensor environments?UbiComp '24Unified Framework for Procedural Task Assistants powered by Human Activity Recognition
helpResearch questionCare, Health, and Task-Step Activity RecognitionHow can context-aware real-time task interaction be achieved by combining LLMs (e.g., GPT-4V)?UbiComp '24Unified Framework for Procedural Task Assistants powered by Human Activity Recognition
helpResearch questionCare, Health, and Task-Step Activity RecognitionHow can efficient real-time process tracking be achieved through wearable sensors and multimodal data?UbiComp '23PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty
helpResearch questionCare, Health, and Task-Step Activity RecognitionHow can state transition graph models improve human activity recognition (HAR) accuracy under noise and uncertainty?UbiComp '23PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty
helpResearch questionCare, Health, and Task-Step Activity RecognitionCan user input (e.g., voice feedback) effectively improve model performance, and to what extent does it affect user burden?UbiComp '23PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty