Dynamic, Discreet, Robotic Compression Garment for Real-Time Stress Assessment and Intervention

Abstract

This paper presents the design and development of a wearable robotic compression garment and integrated controller to automatically detect stressful situations in real-time and provide compression as an intervention for stress reduction. The developed garment leverages traditional apparel assembly techniques for more feasible manufacture. The robotic/active garment material that provides compression uses dynamically activated materials, known as shape memory alloys (SMAs), as a way to provide personalized stress intervention. This dual mode system functions either within an integrated home intervention system with a central hub and voice-activated conversational agent or as a separate system controlled using a touch-based or voice-activated mobile application. The system presents garment improvements by addressing wearability, thermal insulation, and pressure consistency, as well as control portability and scalability.