Activity recognition - Open Access .click

Proceedings of the 2011 international workshop on Situation activity & goal awareness - SAGAware '11, 2011
Activity recognition is an emerging field that demands active research in ubiquitous computing for analyzing complex scenarios such as concurrent situation assessment and domination of major over the minor activities. In this paper, an evolutionary ensembles approach using Genetic Algorithm (GA) as a homogeneous learner has been proposed. This approach
Muhammad Fahim +3 more
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Weapon Activity Recognition

Proceedings of the AAAI Conference on Artificial Intelligence
This paper outlines a proposal regarding the use of machine learning, specifically a long-short term model, to increase the military’s effectiveness and safety protocols. The approach is to collect data from weapons training and apply it to a model that can distinguish between weapon activities.
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Egocentric Activity Recognition on a Budget

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Recent advances in embedded technology have enabled more pervasive machine learning. One of the common applications in this field is Egocentric Activity Recognition (EAR), where users wearing a device such as a smartphone or smartglasses are able to receive feedback from the embedded device. Recent research on activity recognition has mainly focused on
Rafael Possas +2 more
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machine learning
deep learning
artificial intelligence

wearable sensors
7. clean energy
11. sustainability

transfer learning
4. education
3. good health