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Human Activity Recognition - A Grand Challenge

Digital Image Computing: Techniques and Applications (DICTA'05), 2005
Motion is an important cue for the human visual system. Mobiles have always fascinated children, Zeno (circa 500 B.C.) studied moving arrows to pose a paradox, and Zeke is investigating the human brain devoted to the understanding of motion. In computer vision research, motion has played an important role for the past thirty years.
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Human Activity Recognition: A review

2022 10th International Symposium on Digital Forensics and Security (ISDFS), 2022
João Gonçalo Pereira   +1 more
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Human Activity Recognition based on WaveNet

2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 2021
This paper makes a comprehensive study on human activity recognition based on CNN and RNN and proposes an alternative way to solve HAR based on WaveNet. The model is full probability autoregressive and can be used as a discriminant model. Therefore, this paper attempts to use WaveNet to solve HAR. By comparing the results of CNN, RNN and WaveNet models
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Active classification for human action recognition

2013 IEEE International Conference on Image Processing, 2013
In this paper, we propose a novel classification method involving two processing steps. Given a test sample, the training data residing to its neighborhood are determined. Classification is performed by a Single-hidden Layer Feedforward Neural network exploiting labeling information of the training data appearing in the test sample neighborhood and ...
Alexandros Iosifidis   +2 more
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Human Activity Recognition Based on Similarity

2014 IEEE 17th International Conference on Computational Science and Engineering, 2014
Human activity recognition based on smart phones has been widely used in many fields including the mobile context awareness and inertial positioning. Compared to the activity recognition whose sensor location is fixed, the activity recognition based on smartphones has a new problem because the mobile direction and position are not fixed. In this paper,
Yangda Zhu   +3 more
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Human Activity Recognition

1997
A fundamental goal of work in recognition is to discover easily-computed visual features which are efficient indices of members of the class which is to be recognized. The hypothesis behind work in motion-based recognition is that features describing motion in the input can be efficient indices for large classes of objects and activities of interest to
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Human Activity Recognition

SSRN Electronic Journal, 2023
Dr. Rakesh Kumar, Shreyas Pagare
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Imaging and fusing time series for wearable sensor-based human activity recognition

Information Fusion, 2020
Zhiguang Qin   +2 more
exaly  

Different Techniques for Human Activity Recognition

2022 29th International Conference on Mixed Design of Integrated Circuits and System (MIXDES), 2022
Ravi Raj, Andrzej Kos
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