Towards a deep human activity recognition approach based on video to image transformation with skeleton data
One of the most recent challenging tasks in computer vision is Human Activity Recognition
(HAR), which aims to analyze and detect the human actions for the benefit of many fields …
(HAR), which aims to analyze and detect the human actions for the benefit of many fields …
Nonintrusive fine-grained home care monitoring: Characterizing quality of in-home postural changes using bone-based human sensing
S Chen, S Saiki, M Nakamura - Sensors, 2020 - mdpi.com
In contrast to the physical activities of able-bodied people at home, most people who require
long-term specific care (eg, bedridden patients and patients who have difficulty walking) …
long-term specific care (eg, bedridden patients and patients who have difficulty walking) …
[PDF][PDF] View-invariant 3D Skeleton-based Human Activity Recognition based on Transformer and Spatio-temporal Features.
With the emergence of depth sensors, real-time 3D human skeleton estimation have
become easier to accomplish. Thus, methods for human activity recognition (HAR) based on …
become easier to accomplish. Thus, methods for human activity recognition (HAR) based on …
Deep human action recognition system for assistance of alzheimer's patients
People with Alzheimer's disease find it difficult to perform their Activities of Daily Living
(ADLs) due to limited abilities in cognitive functioning. They cannot remember the correct …
(ADLs) due to limited abilities in cognitive functioning. They cannot remember the correct …
Reinforcement Learning for assistance of Alzheimer's disease patients
Alzheimer's disease is a chronic brain disease with multi-factorial causes that begins in the
middle of life. It affects the patient in many ways, like the ability to perform daily life activities …
middle of life. It affects the patient in many ways, like the ability to perform daily life activities …
A multimodal hypovigilance detection system based on fuzzy logic and transfer learning
The problem of road safety is an important issue for human society. The challenge is to
reduce the number of accidents, and consequently the number of fatalities and injuries on …
reduce the number of accidents, and consequently the number of fatalities and injuries on …
[PDF][PDF] MediaPipe with GNN for Human Activity Recognition.
Human interaction and computer vision converge in the realm of Human Activity Recognition
(HAR), which is a research field dedicated to the creation of automated systems capable of …
(HAR), which is a research field dedicated to the creation of automated systems capable of …
A metaplastic neural network technique for human activity recognition for Alzheimer's patients
A Zaghdoud, O Jemai - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Artificial Intelligence technology has made a huge leap forward. However, the current
systems still fall short when faced with the catastrophic challenge of forgetting. Deep neural …
systems still fall short when faced with the catastrophic challenge of forgetting. Deep neural …
[PDF][PDF] Recognition Human Activities by Convolutional Based Bidirectional LSTM Model Using ECG Signal Data
Recognition of human activities is a challenging process and technology-based systems are
used for the successful realization of the process. Recently, artificial intelligence-based …
used for the successful realization of the process. Recently, artificial intelligence-based …
[PDF][PDF] COMPUTATIONAL EVALUATION OF PERSONS'TORSO AND WAIST SIZE USING POSENET NEURAL NETWORK
A Joshi, A Singh, A Ali, R Patel - scholar.archive.org
One of the founders of America, Lt. Benjamin Franklin once wrote in his book that,“Time is
Money” taking his words into the mind the idea of this model happened and then we started …
Money” taking his words into the mind the idea of this model happened and then we started …