TY - JOUR
T1 - Dynamic Field Programmable Logic-Driven Soft Exosuit
AU - Cleary, Frances
AU - Srisa-an, Witawas
AU - Henshall, David C.
AU - Balasubramaniam, Sasitharan
N1 - Funding Information:
The work of David C. Henshall was supported in part by FutureNeuro from the Science Foundation Ireland (SFI) under Grant 16/RC/3948, in part by the European Regional Development Fund, and in part by FutureNeuro Industry Partners.
Publisher Copyright:
© 2001-2012 IEEE.
PY - 2023/4/12
Y1 - 2023/4/12
N2 - The next generation of etextiles foresees an era of smart wearable garments where embedded seamless intelligence provides the ability to sense, process, and perform. Core to this vision is embedded textile functionality enabling dynamic configuration. In this article, we detail a methodology, design, and implementation of a dynamic field-programmable logic-driven fabric soft exosuit. Dynamic field programmability (FP) allows the soft exosuit to alter its functionality and adapt to specific exercise programs depending on the wearers need. The dynamic FP is enabled through motion-based control arm movements of the soft exosuit triggering momentary sensors embedded in the fabric exosuit at specific joint placement points (right arm: wrist and elbow). The embedded circuitry in the fabric exosuit is implemented using a layered and interchangeable approach. This includes logic gate patches (AND, OR, NOT) and a layered textile interconnection panel. This modular and interchangeable design enhances the soft exosuits flexibility and adaptability. A truth table aligning to a rehabilitation healthcare use case was utilized. Tests were completed validating the FP of the soft exosuit and its capability to switch between its embedded logic-driven circuitry and its operational and functionality options controlled by motion movement of the wearers right arm (elbow and wrist). Iterative exercise movement and acceleration-based tests were completed to validate the functionality of the field-programmable logic-driven fabric exosuit. We demonstrate a working soft exosuit prototype with motion-controlled operational functionality that can be applied to rehabilitation applications.
AB - The next generation of etextiles foresees an era of smart wearable garments where embedded seamless intelligence provides the ability to sense, process, and perform. Core to this vision is embedded textile functionality enabling dynamic configuration. In this article, we detail a methodology, design, and implementation of a dynamic field-programmable logic-driven fabric soft exosuit. Dynamic field programmability (FP) allows the soft exosuit to alter its functionality and adapt to specific exercise programs depending on the wearers need. The dynamic FP is enabled through motion-based control arm movements of the soft exosuit triggering momentary sensors embedded in the fabric exosuit at specific joint placement points (right arm: wrist and elbow). The embedded circuitry in the fabric exosuit is implemented using a layered and interchangeable approach. This includes logic gate patches (AND, OR, NOT) and a layered textile interconnection panel. This modular and interchangeable design enhances the soft exosuits flexibility and adaptability. A truth table aligning to a rehabilitation healthcare use case was utilized. Tests were completed validating the FP of the soft exosuit and its capability to switch between its embedded logic-driven circuitry and its operational and functionality options controlled by motion movement of the wearers right arm (elbow and wrist). Iterative exercise movement and acceleration-based tests were completed to validate the functionality of the field-programmable logic-driven fabric exosuit. We demonstrate a working soft exosuit prototype with motion-controlled operational functionality that can be applied to rehabilitation applications.
KW - Combinational logic
KW - Dynamic Interchangable Textile Circuitry
KW - Fabric Soft Exosuit
KW - Field Programmable
UR - http://www.scopus.com/inward/record.url?scp=85153372953&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2023.3265514
DO - 10.1109/JSEN.2023.3265514
M3 - Article
AN - SCOPUS:85153372953
SN - 1530-437X
VL - 23
SP - 10935
EP - 10949
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 10
ER -