Characterisation, Design and Experimentation of a Fabric Based Wearable Joint Sensing Device on Human Elbow
Abstract The use of conductive fabrics (CF) in the design of wearables for joint sensing has recently received much interest in a wide range of applications such as robotics, rehabilitation, personal wellness, sports, and entertainment. This paper evaluates a new wearable device concept that comprises a CF strain-voltage sensor embedded as part of an inverted slider-crank mechanism for joint extension sensing. This has the benefit of not requiring anthropometric information from the user to related the joint parameters to the fabric strain readings, as opposed to an existing design. Firstly, we characterize the electro-mechanical property of a commercially available CF. Secondly, we formulate the joint sensing device's geometric synthesis procedure as a constrained revolute joint system, where the CF is designed and introduced as an RPR chain to obtain an inverted slider-crank linkage. Lastly, we designed our wearable sensing device and validated against an ISC linkage fixture representing an elbow joint and an actual healthy human subject's left elbow. The ISC linkage fixture experimental setup shows that our designed joint sensing device can track the elbow extension motion of 140 with a maximum error of 7.66%. The results from our human subject's left elbow show that it can track the elbow flexion-extension at various angular motion, with error ranges between 8.55 to 12.57. These have provided us an average of Spearman's coefficient values rs at 0.95, which was considered an acceptable range.