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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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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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Opportunistic Human Activity Recognition
Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2016A lot of research has been done for human activity recognition. But most of it uses a static and immutable set of sensors known beforehand. This approach does not work when applied to a ubiquitous or mobile system, since we cannot know which sensors will be available in the users’ surroundings.
Gioanni, Luis +3 more
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Recognition of Human Activities
2011Computer Vision is the estimation of the three dimensional shape and other properties of objects based on their two dimensional (projection) images through the use of computers and cameras. It had its beginning in the early 1960s. At the time, it was thought to be an easy problem with a solution probably possible over a summer.
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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.
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Cross-Modal Federated Human Activity Recognition
IEEE Transactions on Pattern Analysis and Machine IntelligenceFederated human activity recognition (FHAR) has attracted much attention due to its great potential in privacy protection. Existing FHAR methods can collaboratively learn a global activity recognition model based on unimodal or multimodal data distributed on different local clients.
Xiaoshan Yang +3 more
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Active Sensing in Human Activity Recognition
2017This work studies the problem of reducing the energy consumption of wearable sensors in a Human Activity Recognition (HAR) system. A HAR system is implemented using Hidden Markov Models, where decisions over the acquisition of new data are made based on the entropy of the posterior distribution of the activities. This problem is intractable in general,
Alfredo Nazábal, Antonio Artés
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American Cancer Society nutrition and physical activity guideline for cancer survivors
Ca-A Cancer Journal for Clinicians, 2022Cheryl L Rock +2 more
exaly
Learning-based human activity recognition
2014Recognizing human activities has been an extensive and interesting research topic since early 1980s. However, when deploying human activity recognition solutions to the real world, the solutions we provide must satisfy a series of requirements. We would expect our solution to be able to learn a reasonable model from as limited training data as possible.
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