A5029746953- Context-Aware Activity Recognition Systems
- Technology Use by Older Adults
- IoT and Edge/Fog Computing
- Healthcare Technology and Patient Monitoring
- Dementia and Cognitive Impairment Research
- Smart Cities and Technologies
- Data Management and Algorithms
- Robotics and Automated Systems
- Mobile Health and mHealth Applications
- Semantic Web and Ontologies
- Innovative Human-Technology Interaction
- Aging, Elder Care, and Social Issues
- Personal Information Management and User Behavior
- ECG Monitoring and Analysis
- Geriatric Care and Nursing Homes
- Digital Mental Health Interventions
- Human Mobility and Location-Based Analysis
- Constraint Satisfaction and Optimization
- Indoor and Outdoor Localization Technologies
- IoT-based Smart Home Systems
- Health, Environment, Cognitive Aging
- Gaze Tracking and Assistive Technology
- Frailty in Older Adults
- Artificial Intelligence in Healthcare
- Social Robot Interaction and HRI
University of Sfax
2023-2024
Digital Research Centre of Sfax
2018-2023
Institut Mines-Télécom
2011-2019
University of Monastir
2019
Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
2013-2018
Télécom Paris
2009-2017
Centre National de la Recherche Scientifique
2015-2016
Image and Pervasive Access Laboratory
2009-2013
Institute for Infocomm Research
2011-2013
With an ever-growing ageing population, dementia is fast becoming the chronic disease of 21st century. Elderly people affected with progressively lose their autonomy as they encounter problems in Activities Daily Living (ADLs). Hence, need supervision and assistance from family members or professional caregivers, which can often lead to underestimated psychological financial stress for all parties. The use Ambient Assistive (AAL) technologies aims empower relieve burden caregivers.The aim...
On account of chronic neurocognitive disorders, many people progressively lose their autonomy and become more dependent on others, finally reaching the stage when they need round-the-clock care from caregivers. Over time, as patients' needs increase with evolution diseases, caregivers experience increasing levels stress burden. Therefore, an assistive solution that is able to adapt changing end-users needed. This was considered a major requirement emerged our field work deployment in...
The world demography is continuously changing. During the last decade, we noticed a regular variation in leading to nearly balanced society share between young and aging population. This increasing older adult population facing many problems. In fact, transition period associated with physical, psychological, cognitive, societal changes. Negative behavior changes are considered as indicators of adults’ frailty. why it important detect such early order prevent isolation, sedentary lifestyle,...
Aging process is associated with behavior change and continuous decline in physical cognitive abilities.Therefore, early detection of major enabler for providing adapted services to elderly people.Today, different psychogeriatric methods target detection.However, these require presence caregivers manual analysis.In this paper, we present our technological approach detection.It consists monitoring analyzing individual activities using pervasive sensors, as well detecting possible changes...
A Rapid deployment solution, which enables to discover surrounding context and construct the semantic knowledge, is a major enabler for large scale of Ambient Assisted Living (AAL)1 solutions in aging people environments. Therefore, we built UbiSMART framework, an AAL ontology/web solution based on shared cloud-based reasoner, enable easy quick hardware software component. uses two ontologies: 1) generic ontology (abstract model) that contains properties 2) specific (instance details each...
Rule-based reasoning engines have proven their value for Context-Awareness in Ambient Intelligence. However, the definition of rules is often prone to human-caused inconsistencies or sensor failures. In this paper, we propose assist context-awareness by automatically validating consistency rules. Using our approach, are able detect conflicts between context-awareness, as well recommend adding sensors improve reasoner outcomes. We define a finite set conditions be verified, and provide...
Most smart home based monitoring / assistive systems that attempt to recognize activities within a are targeted towards living-alone elderly, and stop at providing instantaneous coarse grained information such as room-occupancy or provide specific programmed reminders for taking medication etc. In our work, we target multiple residents, while restricting the use of wearable devices sensors. addition do away with video due privacy concerns. this paper present design challenges issues in...