A5022066807- Impact of Light on Environment and Health
- Autism Spectrum Disorder Research
- Context-Aware Activity Recognition Systems
- Traffic Prediction and Management Techniques
- Geographic Information Systems Studies
- Dementia and Cognitive Impairment Research
- Technology Use by Older Adults
- Gait Recognition and Analysis
- Balance, Gait, and Falls Prevention
- Human Mobility and Location-Based Analysis
University of Illinois Chicago
2024-2025
Politecnico di Milano
2024
Massachusetts Institute of Technology
2024
Uttara University
2021
In present day Autism Spectrum Disorder (ASD) is gaining its momentum faster than ever. Detecting autism traits through screening tests very expensive and time consuming. With the advancement of artificial intelligence machine learning (ML), can be predicted at quite early stage. Though number studies have been carried out using different techniques, these didn't provide any definitive conclusion about predicting in terms age groups. Therefore this paper aims to propose an effective...
Abstract Accurate detection of gait events in older adults, particularly during perturbed walking, is essential for evaluating balance control and fall risk. Traditional force plate-based methods often face limitations walking scenarios due to the difficulty landing cleanly on plates. Subsequently, previous studies have not addressed event automatic walking. This study introduces an automated method using a bidirectional gated recurrent unit (Bi-GRU) model, leveraging ground reaction force,...
Gait disorders are commonly observed in older adults, who frequently experience various issues related to walking. Additionally, researchers and clinicians extensively investigate mobility gait typically atypically developing children, athletes, individuals with orthopedic neurological disorders. Effective analysis enables the understanding of causal mechanisms balance control patients, development tailored treatment plans improve mobility, reduction fall risk, tracking rehabilitation...
Sunlight and shadow play critical roles in how urban spaces are utilized, thrive, grow. While access to sunlight is essential the success of environments, shadows can provide shaded places stay during hot seasons, mitigate heat island effect, increase pedestrian comfort levels. Properly quantifying large environments key tackling some important challenges facing cities today. In this paper, we propose Deep Umbra, a novel computational framework that enables quantification at global scale....
Alzheimer's Disease (AD) is a chronic neurodegenerative disease that causes to develop dementia. patients find it hard remember recent events, reason and even recognize people they know. As the advances, symptoms can include difficulty with language, disorientation including getting lost, mood swings, loss of motivation, lack self-awareness overall behavior. Though limited number IT based solutions exist provide support for patients, but most these very isolated services either or...
Sunlight and shadow play critical roles in how urban spaces are utilized, thrive, grow.While access to sunlight is essential the success of environments, shadows can provide shaded places stay during hot seasons, mitigate heat island effect, increase pedestrian comfort levels.Properly quantifying large environments key tackling some important challenges facing cities today.In this paper, we propose Deep Umbra, a novel computational framework that enables quantification at global scale.Our...
Sidewalks play a pivotal role in urban mobility of everyday life. Ideally, sidewalks provide safe walkway for pedestrians, link public transportation facilities, and equip people with routing navigation services. However, there is scarcity open sidewalk data, which not only impacts the accessibility walkability cities but also limits policymakers generating insightful measures to improve current state pedestrian facilities. As one most famous crowdsourced data repositories, OpenStreetMap...