A Weft Knit Data Glove

Ayodele, Emmanuel; Raza Zaidi, Syed Ali; Scott, Jane; Zhang, Zhiqiang; Hayajneh, Ali; Shittu, Samson; McLernon, Des

Abstract

Rehabilitation of stoke 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 behaviour for the exoskeleton. Therefore, data gloves can provide a low-cost solution for the motion capture of the joints in the hand. However, current data gloves are bulky, inaccurate or inconsistent. These disadvantages are inherited because the conventional design of a glove involves an external attachment that degrades overtime and causes inaccuracies. This paper presents a weft knit data glove whose sensors and support structure are manufactured in the same fabrication process thus removing the need for an external attachment. The glove is made by knitting multifilament conductive yarn and an elastomeric yarn using WholeGarment technology. Furthermore, we present a detailed electromechanical model of the sensors alongside its experimental validation. Additionally, the reliability of the glove is verified experimentally. Lastly, machine learning algorithms are implemented for classifying the posture of hand on the basis of sensor data histograms.

Citation

Ayodele, E., Raza Zaidi, S. A., Scott, J., Zhang, Z., Hayajneh, A., Shittu, S., & McLernon, D. (2021). A Weft Knit Data Glove. IEEE Transactions on Instrumentation and Measurement, 70, Article 4004212. https://doi.org/10.1109/tim.2021.3068173

• Journal Article Type: Article
• Acceptance Date: Mar 14, 2021
• Online Publication Date: Mar 30, 2021
• Publication Date: 2021
• Deposit Date: Apr 20, 2021
• Publicly Available Date: Apr 20, 2021
• Journal: IEEE Transactions on Instrumentation and Measurement
• Print ISSN: 0018-9456
• Electronic ISSN: 1557-9662
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 70
• Article Number: 4004212
• DOI: https://doi.org/10.1109/tim.2021.3068173
• Keywords: Classification; Data glove; Electromechanical modeling; Wearable; Weft knit sensor
• Public URL: https://hull-repository.worktribe.com/output/3752739