Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet

• Main Authors: Vedhagiri, G.P.J., Wang, X.Z., Kumar, K.S., Ren, H.
• Other Authors: BIOMEDICAL ENGINEERING
• Format: Article
• Published: MDPI AG 2021
• Subjects: Electrical impedance tomography; Gesture classification; Kirigami wearable device; Machine learning
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/197561
• Institution: National University of Singapore

10.3390/mti4030047