Results 221 to 230 of about 671,529 (252)
Some of the next articles are maybe not open access.
Human Activity Recognition - A Grand Challenge
Digital Image Computing: Techniques and Applications (DICTA'05), 2005Motion 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.
openaire +1 more source
Human Activity Recognition: A review
2022 10th International Symposium on Digital Forensics and Security (ISDFS), 2022João Gonçalo Pereira +1 more
openaire +1 more source
Human Activity Recognition based on WaveNet
2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 2021This 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
openaire +1 more source
Active classification for human action recognition
2013 IEEE International Conference on Image Processing, 2013In 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
openaire +1 more source
Human Activity Recognition Based on Similarity
2014 IEEE 17th International Conference on Computational Science and Engineering, 2014Human 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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
Imaging and fusing time series for wearable sensor-based human activity recognition
Information Fusion, 2020Zhiguang Qin +2 more
exaly
Different Techniques for Human Activity Recognition
2022 29th International Conference on Mixed Design of Integrated Circuits and System (MIXDES), 2022Ravi Raj, Andrzej Kos
openaire +1 more source

