Exploring the Feasibility of Full-Body Muscle Activation Sensing with Insole Pressure Sensors

TL;DR

This paper presents Press2Muscle, a novel system that uses insole pressure sensors to unobtrusively infer full-body muscle activation, offering a practical alternative to traditional electromyography for health monitoring.

Contribution

Press2Muscle is the first system to infer muscle activation from insole pressure data, incorporating a data-driven approach for better generalization across users and conditions.

Findings

Achieves a root mean square error of 0.025 in muscle activation estimation.

Outperforms video-based methods by 19% in accuracy.

Demonstrates robustness across different users, footwear, and environments.

Abstract

Muscle activation initiates contractions that drive human movement, and understanding it provides valuable insights for injury prevention and rehabilitation. Yet, sensing muscle activation is barely explored in the rapidly growing mobile health market. Traditional methods for muscle activation sensing rely on specialized electrodes, such as surface electromyography, making them impractical, especially for long-term usage. In this paper, we introduce Press2Muscle, the first system to unobtrusively infer muscle activation using insole pressure sensors. The key idea is to analyze foot pressure changes resulting from full-body muscle activation that drives movements. To handle variations in pressure signals due to differences in users' gait, weight, and movement styles, we propose a data-driven approach to dynamically adjust reliance on different foot regions and incorporate easily accessible biographical data to enhance Press2Muscle's generalization to unseen users. We conducted an extensive study with 30 users. Under a leave-one-user-out setting, Press2Muscle achieves a root mean square error of 0.025, marking a 19% improvement over a video-based counterpart. A robustness study validates Press2Muscle's ability to generalize across user demographics, footwear types, and walking surfaces. Additionally, we showcase muscle imbalance detection and muscle activation estimation under free-living settings with Press2Muscle, confirming the feasibility of muscle activation sensing using insole pressure sensors in real-world settings.