Automatic Asymmetric Weight Distribution Detection and Correction Utilizing Electrical Muscle Stimulation

Ravi Kiran Kattoju, Eugene M Taranta, Ryan Ghamandi, Joseph LaViola

Keywords: Wearable computing, Preventive Healthcare, Posture correction, Asymmetric weight distribution, Electrical Muscle Stimulation

TL;DR: A new physiological feedback system that utilizes load sensors sensors to detect asymmetric weight distribution, and electrical muscle stimulation to automatically correct and restore balance during prolonged standing.

Abstract: Postural control is a constant re-establishment process for the maintenance of balance and stability. Asymmetric weight distribution (AWD), characterized by uneven leg loading, leads to increased instability, injury, and progressive deterioration of posture and gait. Postural self-correction is automatically affected by the human body in response to visual, vestibular, and proprioceptive sensory information. However, simultaneous cognitive loads can increase the demand for extra resources and require balance monitoring and correction techniques. We address these issues with a novel physiological feedback system that utilizes load sensors for AWD detection, and electrical muscle stimulation (EMS) for automatic correction and restoration of balance by affecting a counter-weight shift. In a user study involving 36 participants, we compare our automatic approach against two alternative feedback systems (Audio and Vibro-tactile). We find that our automatic approach delivered faster correction and outperformed alternative feedback mechanisms and perceived to be interesting, comfortable and a potential commercial product.