A5080397850- Context-Aware Activity Recognition Systems
- Mobile Health and mHealth Applications
- Physical Activity and Health
- Gait Recognition and Analysis
- Diabetic Foot Ulcer Assessment and Management
- Technology Use by Older Adults
- Social Robot Interaction and HRI
- Anomaly Detection Techniques and Applications
- IoT-based Smart Home Systems
- Non-Invasive Vital Sign Monitoring
- Neurological disorders and treatments
- Hand Gesture Recognition Systems
- Voice and Speech Disorders
- Spinal Cord Injury Research
- Stroke Rehabilitation and Recovery
- Human Pose and Action Recognition
- Parkinson's Disease Mechanisms and Treatments
University of Ulster
2022-2024
Human Activity Recognition (HAR) is increasingly used in a variety of applications, including health care, fitness tracking, and rehabilitation. To reduce the impact on user's daily activities, wearable technologies have been advanced throughout years. In this study, an improved smart insole-based HAR system proposed. The data segmentation, sensors used, feature selection was fully investigated. Support Vector Machine (SVM), supervised learning algorithm, has to recognise six ambulation...
Abstract Health monitoring, rehabilitation, and fitness are just a few domains where human activity recognition can be applied. In this study, deep learning approach has been proposed to recognise ambulation activities from data collected by five participants using smart insoles. Smart insoles, consisting of pressure inertial sensors, allowed for seamless collection while minimising user discomfort, laying the baseline development monitoring and/or rehabilitation system everyday life. The...
Determining whether a subject has gait impairment due to disease or the loss of muscularity advancing age is fundamental for an early diagnosis musculoskeletal diseases. Parkinson's second most common neurodegenerative disease. The disease's prevalent symptom slow movement sluggish gait, which can adversely impact individual's quality life. Generally, analysis carried out on long test sessions, include example periods walking, that cause inconvenience when subjects under have marked...
<title>Abstract</title> A robotic exoskeleton enables individuals with limited or no mobility to engage in moderate exercises, promoting physical fitness and overall well-being. Exoskeletons, however, do not provide insights into gait patterns monitoring analysis over time. This study proposes the integration of smart insoles as a cost-effective non-invasive assistant for assessment exoskeleton-assisted rehabilitation. The study, spanning 12 weeks, comprised three sessions involving total 10...
Health and performance monitoring technologies are commonly used by athletes. Obese people on the other hand benefit less from empowering that address their specific needs. It would arguably have a substantial positive impact if such could promote more active lifestyle. The consequential costs of obesity matter great concern for health professionals European policy makers alike. EU-funded STop Obesity Project (STOP) addresses these shortcomings. Its main work results platform gamified app...