Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet
10.3390/mti4030047
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/197561 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
id |
sg-nus-scholar.10635-197561 |
---|---|
record_format |
dspace |
spelling |
sg-nus-scholar.10635-1975612024-04-15T12:16:56Z Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet Vedhagiri, G.P.J. Wang, X.Z. Kumar, K.S. Ren, H. BIOMEDICAL ENGINEERING MECHANICAL ENGINEERING Electrical impedance tomography Gesture classification Kirigami wearable device Machine learning 10.3390/mti4030047 Multimodal Technologies and Interaction 4 3 1-Oct 2021-08-18T03:32:14Z 2021-08-18T03:32:14Z 2020 Article Vedhagiri, G.P.J., Wang, X.Z., Kumar, K.S., Ren, H. (2020). Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet. Multimodal Technologies and Interaction 4 (3) : 1-Oct. ScholarBank@NUS Repository. https://doi.org/10.3390/mti4030047 24144088 https://scholarbank.nus.edu.sg/handle/10635/197561 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ MDPI AG Scopus OA2020 |
institution |
National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
topic |
Electrical impedance tomography Gesture classification Kirigami wearable device Machine learning |
spellingShingle |
Electrical impedance tomography Gesture classification Kirigami wearable device Machine learning Vedhagiri, G.P.J. Wang, X.Z. Kumar, K.S. Ren, H. Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet |
description |
10.3390/mti4030047 |
author2 |
BIOMEDICAL ENGINEERING |
author_facet |
BIOMEDICAL ENGINEERING Vedhagiri, G.P.J. Wang, X.Z. Kumar, K.S. Ren, H. |
format |
Article |
author |
Vedhagiri, G.P.J. Wang, X.Z. Kumar, K.S. Ren, H. |
author_sort |
Vedhagiri, G.P.J. |
title |
Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet |
title_short |
Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet |
title_full |
Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet |
title_fullStr |
Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet |
title_full_unstemmed |
Comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet |
title_sort |
comparative study of machine learning algorithms to classify hand gestures from deployable and breathable kirigami-based electrical impedance bracelet |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://scholarbank.nus.edu.sg/handle/10635/197561 |
_version_ |
1800914911732170752 |