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Semi-automated computer vision-based tracking of multiple industrial entities: a framework and dataset creation approach
This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial...
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The Application of Virtual Reality Using Kinect Sensor in Biomedical and Healthcare Environment: A Review
Virtual Reality (VR) and the Kinect sensor, as promising tools in biomedical research, offers diverse applications in medical education,...
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Theory and Application of High-Precision Preoperative Positioning for Cochlear Surgical Robot
According to a World Health Organization survey report in 2021, 430 million people worldwide currently suffer from moderate or severe hearing...
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Hand Tracking: Survey
Hand tracking is relevant to such a variety of applications including human-robot interaction (HRI), human-computer interaction (HCI), virtual...
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Localisation of Ultrasonic NDT Data Using Hybrid Tracking of Component and Probe
Knowledge about the location of a defect is essential for damage assessment. In terms of a digitalised maintenance, inspection data is combined with...
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Motion Tracking in Diagnosis: Gait Disorders Classification with a Dual-Head Attentional Transformer-LSTM
Gait and motion stability analysis in gait dysfunction problems is a very interesting research area. Usually, patients who undergo vestibular...
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Principles of Object Tracking and Map**
Tracking is the main enabling technology for Augmented Reality (AR) as it allows realistic placement of virtual content in the real world. In this...
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A Word-Based Moroccan Sign Language Dataset for Emergency Situations: Use Case COVID-19
As a direct result of the COVID-19 epidemic, persons who are hard of hearing or deaf have lately been confronted with new obstacles. The health of...
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Physio at Home: Survey on AI Motion Tracking for Medical Recovery Exercises and Suggestions Based on Accuracy
Regular physical activity has the capacity to enhance heart health, lung function, muscular strength, and flexibility, while also reducing the risk...
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Structure and Sequencing Preserving Representations for Skeleton-based Action Recognition Relying on Attention Mechanisms
Skeleton-based action recognition is a highly prominent research focus within the domain of computer vision, primarily owing to the availability and...
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Deep Learning-Based Object Tracking and Following for AGV Robot
This paper proposes a solution for the AGV (Autonomous Guided Vehicles) robot to effectively monitor a moving object using deep learning by enabling...
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A Real-Time Approach of Fall Detection and Rehabilitation in Elders Using Kinect Xbox 360 and Supervised Machine Learning Algorithm
Nowadays, fall in elders is a major issue almost in all the countries. Sometimes, heavy fall in elders cause serious injuries which leads to major...
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Hybrid Impedance Control-based Autonomous Robotic System for Natural-like Drinking Assistance for Disabled Persons
Drinking is an essential activity of daily living (ADL) that is frequently required for a healthy life. Disabled persons however need recurrent...
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LCO–EGC: levy chaotic optimization-based enhanced graph convolutional network for monitoring health of sports athletes
In this modern world, healthcare monitoring is essential to save human lives. The Internet of Things (IoT) plays a vital role in the monitoring of...
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Enhancing automated lower limb rehabilitation exercise task recognition through multi-sensor data fusion in tele-rehabilitation
BackgroundTele-rehabilitation is the provision of physiotherapy services to individuals in their own homes. Activity recognition plays a crucial role...
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Efficient Deep Learning-based Semantic Map** Approach using Monocular Vision for Resource-Limited Mobile Robots
In recent years, the demand for robots is not only limited to sophisticated industrial setups, there exists an unprecedented demand for low-cost...
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Rule-based multi-view human activity recognition system in real time using skeleton data from RGB-D sensor
Identification of human activity with decent precision is a challenging task in the field of computer vision, especially when applying for...
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A depth-based Indian Sign Language recognition using Microsoft Kinect
Recognition of sign language by a system has become important to bridge the communication gap between the abled and the Hearing and Speech Impaired...
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Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison
BackgroundEmerging sensing and communication technologies are contributing to the development of many motor rehabilitation programs outside the...
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Generation an Annotated Dataset of Human Poses for Deep Learning Networks Based on Motion Tracking System
In this paper, we propose an original method for relatively fast generation an annotated data set of human's poses for deep neural networks training...