A Weft Knit Data Glove

Rehabilitation of stroke survivors can be expedited by employing an exoskeleton. The exercises are designed such that both hands move in synergy. In this regard, often, motion capture data from the healthy hand is used to derive control behavior for Therefore, gloves provide a low-cost solution joints hand. However, current bulky, inaccurate, or inconsistent. These disadvantages inherited because conventional design glove involves external attachment degrades overtime and causes inaccuracies. This article presents weft knit whose sensors support structure manufactured same fabrication process, thus removing need attachment. made knitting multifilament conductive yarn elastomeric using WholeGarment technology. Furthermore, we present detailed electromechanical model alongside its experimental validation. addition, reliability verified experimentally. Finally, machine learning algorithms implemented classifying posture on basis sensor histograms.