TS-ICNN: Time Sequence-Based Interval Convolutional Neural Networks for Human Action Detection and Recognition
Summary :
The research on inertial sensor based human action detection and recognition (HADR) is a new area in machine learning. We propose a novel time sequence based interval convolutional neutral networks framework for HADR by combining interesting interval proposals generator and interval-based classifier. Experiments demonstrate the good performance of our method.
- Publication
- IEICE TRANSACTIONS on Information Vol.E101-D No.10 pp.2534-2538
- Publication Date
- 2018/10/01
- Publicized
- 2018/07/20
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2018EDL8046
- Type of Manuscript
- LETTER
- Category
- Human-computer Interaction
Authors
Zhendong ZHUANG
South China University of Technology
Yang XUE
South China University of Technology
Keyword
Latest Issue
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Zhendong ZHUANG, Yang XUE, "TS-ICNN: Time Sequence-Based Interval Convolutional Neural Networks for Human Action Detection and Recognition" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 10, pp. 2534-2538, October 2018, doi: 10.1587/transinf.2018EDL8046.
Abstract: The research on inertial sensor based human action detection and recognition (HADR) is a new area in machine learning. We propose a novel time sequence based interval convolutional neutral networks framework for HADR by combining interesting interval proposals generator and interval-based classifier. Experiments demonstrate the good performance of our method.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDL8046/_p
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@ARTICLE{e101-d_10_2534,
author={Zhendong ZHUANG, Yang XUE, },
journal={IEICE TRANSACTIONS on Information},
title={TS-ICNN: Time Sequence-Based Interval Convolutional Neural Networks for Human Action Detection and Recognition},
year={2018},
volume={E101-D},
number={10},
pages={2534-2538},
abstract={The research on inertial sensor based human action detection and recognition (HADR) is a new area in machine learning. We propose a novel time sequence based interval convolutional neutral networks framework for HADR by combining interesting interval proposals generator and interval-based classifier. Experiments demonstrate the good performance of our method.},
keywords={},
doi={10.1587/transinf.2018EDL8046},
ISSN={1745-1361},
month={October},}
Copy
TY - JOUR
TI - TS-ICNN: Time Sequence-Based Interval Convolutional Neural Networks for Human Action Detection and Recognition
T2 - IEICE TRANSACTIONS on Information
SP - 2534
EP - 2538
AU - Zhendong ZHUANG
AU - Yang XUE
PY - 2018
DO - 10.1587/transinf.2018EDL8046
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2018
AB - The research on inertial sensor based human action detection and recognition (HADR) is a new area in machine learning. We propose a novel time sequence based interval convolutional neutral networks framework for HADR by combining interesting interval proposals generator and interval-based classifier. Experiments demonstrate the good performance of our method.
ER -
English
