HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Sensing, Recognition, and Security / Care, Health, and Task-Step Activity Recognition

Can frequency-domain features extracted using Fourier and wavelet transforms improve classification accuracy of nursing care activities?

helpResearch questionCare, Health, and Task-Step Activity Recognition

Can frequency-domain features extracted using Fourier and wavelet transforms improve classification accuracy of nursing care activities?

UbiComp '21Nurse Care Activity Recognition from Accelerometer Sensor Data Using Fourier- and Wavelet-based Features

Similar questions

helpResearch questionCare, Health, and Task-Step Activity Recognition

How 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 Recognition

How 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 Recognition

How 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 Recognition

How 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 Recognition

How 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 Recognition

Can 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

Related papers

PrISM-Tracker: A Framework for Multimodal Procedure Tracking Using Wearable Sensors and State Transition Information with User-Driven Handling of Errors and Uncertainty

Riku Arakawa, Hiromu Yakura, Vimal Mollyn