Nicer: A new and improved consumed endurance and recovery metric to quantify muscle fatigue of mid-air interactions

Y Li, B Tag, S Dai, R Crowther, T Dwyer… - ACM Transactions on …, 2024 - dl.acm.org
Natural gestures are crucial for mid-air interaction, but predicting and managing muscle
fatigue is challenging. Existing torque-based models are limited in their ability to model …

Revisiting Consumed Endurance: A NICE Way to Quantify Shoulder Fatigue in Virtual Reality

Y Li, R Crowther, J Smiley, T Dwyer, B Tag… - Proceedings of the 29th …, 2023 - dl.acm.org
Virtual Reality (VR) is increasingly being adopted in fitness, gaming, and workplace
productivity applications for its natural interaction with body movement. A widely accepted …

Metrics of Motor Learning for Analyzing Movement Map** in Virtual Reality

D Yu, M Cibulskis, ES Mortensen… - Proceedings of the CHI …, 2024 - dl.acm.org
Virtual reality (VR) techniques can modify how physical body movements are mapped to the
virtual body. However, it is unclear how users learn such map**s and, therefore, how the …

Quantifying the'Gorilla Arm'Effect in a Virtual Reality Text Entry Task via Ray-Casting: A Preliminary Single-Subject Study

EGQ Palmeira, A Campos, ÍA Moraes… - Proceedings of the 25th …, 2023 - dl.acm.org
Inputting text is a fundamental task users perform in immersive virtual reality (VR)
environments. This preliminary study quantifies the 'gorilla arm'effect regarding the required …

[PDF][PDF] Fatigue muscle strength estimation model for athletes based on electromyographic signals

Z Wang - Journal of Biotech Research, 2024 - btsjournals.com
In order to provide a method to accurately predict the fatigue level of athletes, this study
proposed a fatigue muscle strength estimation model for athletes based on …

DEMOCRATIZING WEARABLES FOR IDEATION, DESIGN, AND INTERACTION

LRP Ayala - 2022 - hammer.purdue.edu
Rapid advancement in ubiquitous computing has been pushing toward making wearable
technology mainstream. However, there is no standard process for develo** wearables …