Design and Initial Testing of an Affordable and Accessible Smart Compression Garment to Measure Physical Activity Using Conductive Paint Stretch Sensors
Autor: | Michele A. Lobo, Ben Greenspan |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
030506 rehabilitation
e-textile Computer Networks and Communications Computer science Neuroscience (miscellaneous) Wearable computer 02 engineering and technology Thread (computing) Motion capture lcsh:Technology 03 medical and health sciences wearable technology Human–computer interaction stretch sensor motion capture Wireless lcsh:Science Wearable technology Data collection business.industry lcsh:T Compression garment 021001 nanoscience & nanotechnology Computer Science Applications accessibility Human-Computer Interaction Microcontroller open-sourced lcsh:Q 0210 nano-technology 0305 other medical science business |
Zdroj: | Multimodal Technologies and Interaction, Vol 4, Iss 45, p 45 (2020) Multimodal Technologies and Interaction Volume 4 Issue 3 |
ISSN: | 2414-4088 |
Popis: | Motion capture and the measurement of physical activity are common practices in the fields of physical therapy, sports medicine, biomechanics, and kinesiology. The data collected by these systems can be very important to understand how someone is recovering or how effective various assistive devices may be. Traditional motion capture systems are very expensive and only allow for data collection to be performed in a lab environment. In our previous research, we have tested the validity of a novel stitched stretch sensor using conductive thread. This paper furthers that research by validating a smart compression garment with integrated conductive paint stretch sensors to measure movement. These sensors are very inexpensive to fabricate and, when paired with an open-sourced wireless microcontroller, can enable a more affordable, accessible, and comfortable form of motion capture. A wearable garment like the one tested in this study could allow us to understand how meaningful, functional activities are performed in a natural setting. |
Databáze: | OpenAIRE |
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