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TS-ICNN: Time Sequence-Based Interval Convolutional Neural Networks for Human Action Detection and Recognition
Zhendong ZHUANG Yang XUE
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2018/10/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Human-computer Interaction
human action detection and recognition, inertial sensor, interval proposals, interval-based classification, convolutional neural network,
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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.