A5065296644- Stroke Rehabilitation and Recovery
- Balance, Gait, and Falls Prevention
- Cerebral Palsy and Movement Disorders
- Context-Aware Activity Recognition Systems
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- CRISPR and Genetic Engineering
- Telemedicine and Telehealth Implementation
- Musculoskeletal pain and rehabilitation
- Indoor and Outdoor Localization Technologies
- Inertial Sensor and Navigation
- Educational Games and Gamification
- Spinal Cord Injury Research
- Augmented Reality Applications
- Animal Virus Infections Studies
- Non-Invasive Vital Sign Monitoring
- Speech and Audio Processing
- Music and Audio Processing
- Virtual Reality Applications and Impacts
Lebanese American University
2019-2022
Sorbonne Université
2015-2019
Université de Technologie de Compiègne
2015-2019
Biomécanique et Bioingénierie
2015-2018
Centre National de la Recherche Scientifique
2015-2016
Exergames have been proposed as a potential tool to improve the current practice of musculoskeletal rehabilitation. Inertial or optical motion capture sensors are commonly used track subject's movements. However, use these tools suffers from lack accuracy in estimating joint angles, which could lead wrong data interpretation. In this study, we real time quaternion-based fusion scheme, based on extended Kalman filter, between inertial and visual sensors, estimation angles. The outcome was...
The progress in information and communication technology (ICT) led to the development of a new rehabilitation technique called "serious game for functional rehabilitation." Previous works have shown that serious games can be used general health specific disease management. However, there is still lack consensus on evaluation guidelines. It important note performance depends designed scenario.The objective this work was develop scenarios evaluate them with panel musculoskeletal patients...
Biomedical-connected objects, such as kinematic sensors, have been commonly used for patient monitoring in many clinical applications. Moreover, serious games become widely to improve patients' motivation during functional rehabilitation. In this article, we develop and evaluate a new engineering system solution rehabilitation at home. A multisensor fusion between Kinect camera inertial sensors was developed animate 3-D avatar estimate data of different joints monitoring. Two game scenarios...
Conventional musculoskeletal rehabilitation consists of a therapy consultancy, an exercise assignment, and execution task with or without assistance the therapist. This classical approach consumes much patient's time, money effort, as well medical staff's. Serious games have been devised aided tool for clinical home-based rehabilitation, patient autonomy in but monitored by The aim this present study was to develop real-time serious gaming system including series locomotion training...
Home-based rehabilitation is an essential step to maximize the recovery of patients during their programs. Experts, between scheduled sessions, recommend home-based exercises. However, there a lack motivation for perform these repetitive tasks. Serious games have been used recently as solution this problem. These also help improve patient problem, but most them do not include cognitive aspects. In paper, we propose serious gaming system, and functional rehabilitation, implemented using...
Serious games have been established as a complementary tool for conventional rehabilitation. This trend proved to be beneficial both experts and patients since the first are able assign monitor virtual reality their executed at home, latter greatly motivated by challenges of these rather than repeatable boring rehabilitation movements. In previous work, we proposed serious game lower limb musculoskeletal system using Microsoft Kinect <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...
The world has been dealing with the SARS-COV-2 pandemic since December 2019 and a lot of effort focused on tracking spread virus by gathering information regarding testing statistics generating viral genomic sequences. Unfortunately, there is neither single comprehensive resource global historical data nor centralized database summary identified variants. We merged different pre-aggregated complemented them our manually extracted ones, which consist 6852 test from 76 countries/states...
Ambient sound monitoring is a widely used strategy to follow older adults, which could help them achieve healthy ageing with comfort and security. In previous work, we have already developed smart audio sensor able recognize everyday life sounds in order detect activities of daily living (ADL) distress situations. this paper, propose add new functionality by analyzing the speech flow number people room. The proposed algorithms are based on speaker diarization methods. This information can be...
Abstract The world has been dealing with the COVID-19 pandemic since December 2019 and a lot of effort focused on tracking spread virus by gathering information regarding testing statistics generating viral genomic sequences. Unfortunately, there is neither single comprehensive resource global historical data nor centralized database summary identified variants.We merged different pre-aggregated complemented them our manually extracted ones, which consist 6852 test from 76 countries/states...