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Large-Scale Self-Supervised Human Activity Recognition
(ACM, 2022-07-11)
In this paper, a self-supervised approach is used to obtain an effective human activity representation using a limited set of annotated data. This research is aimed on acquiring human activity representation in order to ...
Automated System to Measure Static Balancing in Children to Assess Executive Function
(ACM, 2022-07-11)
We present multiple methods based on computer vision and deep learning to automate the task of ”Balancing on one foot”. This is one of the Activate Test of Embodied Cognition (ATEC) tasks used to measure cognitive skills ...
Creating and Comparing Seated Posture Classification Models Using Machine Learning and Computer Vision
The pandemic has led to a huge increase in the number of people teleworking these days. The growing time people spend in front of the computer elevates the risk of them developing bad posture habits that in the long run ...
Light-Weight Seated Posture Guidance System with Machine Learning and Computer Vision
(ACM, 2022-07-11)
In today’s world, the increased time people spend in front of their computers has been one of the main causes for neck and back pains. Especially, since the pandemic, it has been quite evident that slouching at home for ...