Video
BibTex
@inproceedings{Kiran:2021:10.20380/GI2021.17,
author = {Kiran, Kattoju Ravi and Pittman, Corey and Moolenar, Yasmine and Laviola, Joseph},
title = {Automatic Slouching Detection and Correction Utilizing Electrical Muscle Stimulation},
booktitle = {Proceedings of Graphics Interface 2021},
series = {GI 2021},
year = {2021},
issn = {0713-5424},
isbn = {978-0-9947868-6-9},
location = {Virtual Event},
pages = {147 -- 155},
numpages = {9},
doi = {10.20380/GI2021.17},
publisher = {Canadian Information Processing Society},
}
Abstract
Habitually poor posture can lead to repetitive strain injuries that lower an individual's quality of life and productivity. Slouching over computer screens and smart phones are common examples that leads to soreness, and stiffness in the neck, shoulders, upper and lower back regions. To help cultivate good postural habits, researchers have proposed slouch detection systems which alert users when their posture requires attention. However, such notifications are disruptive and can be easily ignored. We address these issues with a new physiological feedback system that uses inertial measurement unit sensors to detect slouching, and electrical muscle stimulation to automatically correct posture. In a user study involving 36 participants, we compare our automatic approach against two alternative feedback systems and through two unique contexts-text entry and gaming. We find that our approach was perceived to be more accurate, interesting, and outperforms alternative techniques in the gaming but not text entry scenario.