Paper Info
Title
Soft Smart Garments for Lower Limb Joint Position Analysis.
Abstract
Revealing human movement requires lightweight, flexible systems capable of detecting mechanical parameters (like strain and pressure) while being worn comfortably by the user, and not interfering with his/her activity. In this work we address such multifaceted challenge with the development of smart garments for lower limb motion detection, like a textile kneepad and anklet in which soft sensors and readout electronics are embedded for retrieving movement of the specific joint. Stretchable capacitive sensors with a three-electrode configuration are built combining conductive textiles and elastomeric layers, and distributed around knee and ankle. Results show an excellent behavior in the similar to 30% strain range, hence the correlation between sensors' responses and the optically tracked Euler angles is allowed for basic lower limb movements. Bending during knee flexion/extension is detected, and it is discriminated from any external contact by implementing in real time a low computational algorithm. The smart anklet is designed to address joint motion detection in and off the sagittal plane. Ankle dorsi/plantar flexion, adduction/abduction, and rotation are retrieved. Both knee and ankle smart garments show a high accuracy in movement detection, with a RMSE less than 4 degrees in the worst case.
Year
DOI
Venue
2017
10.3390/s17102314
SENSORS
Keywords
Field
DocType
wearable system,strain sensor,bending,soft tactile sensor,textile,capacitive sensor,exoskeleton,human motion monitoring
Motion detection,Simulation,Euler angles,Bending,Capacitive sensing,Exoskeleton,Knee Joint,Engineering,Sagittal plane,Ankle
Journal
Volume
Issue
Citations 
17
10.0
4
PageRank 
References 
Authors
0.54
11
7
Name
Order
Citations
PageRank
Massimo Totaro152.30
Tommaso Poliero281.70
Alessio Mondini3657.80
Chiara Lucarotti4242.28
Giovanni Cairoli540.54
Jesus Ortiz6679.14
Lucia Beccai710816.85