Papers › Home Study Environments: Assessment of Posture and Muscle Fatigue Using Superficial...
Home Study Environments: Assessment of Posture and Muscle Fatigue Using Superficial Electromyography in the Context of Virtual Education After the Pandemic
C. Boggio, M. Cama, J. Sandoval, A. Valle
The COVID-19 pandemic led to a rapid shift to virtual education, raising concerns about the ergonomics and posture of college students at home. This project aims to optimize home study environments by assessing posture and muscle fatigue using surface electromyography (EMG). It identifies and quantifies musculoskeletal problems caused by non-ergonomic home setups and analyzes the relationship between prolonged screen time, poor posture, and muscle fatigue. Using the BITalino (r)evolution EMG kit and Kinovea software, university students who studied virtually during the pandemic were assessed. The data is processed to propose ergonomic recommendations to improve posture, reduce muscle fatigue, and promote a healthier study environment for better academic performance.
Code
Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
No leaderboard rows for this paper in the archive.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections