- Educational Games and Gamification
- Augmented Reality Applications
- Nutritional Studies and Diet
- Virtual Reality Applications and Impacts
- Dementia and Cognitive Impairment Research
- Diet and metabolism studies
- Demographic Trends and Gender Preferences
- Technology Use by Older Adults
- Spatial Neglect and Hemispheric Dysfunction
- Alcohol Consumption and Health Effects
- Health and Wellbeing Research
- Artificial Intelligence in Healthcare
- Evolution and Genetic Dynamics
- Ecosystem dynamics and resilience
- Global Maternal and Child Health
- Mobile Health and mHealth Applications
- Anomaly Detection Techniques and Applications
- Nutrition, Health and Food Behavior
- Gene Regulatory Network Analysis
- Imbalanced Data Classification Techniques
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Education
- Cardiovascular Health and Risk Factors
- Poverty, Education, and Child Welfare
- Robotics and Automated Systems
Birla Institute of Technology and Science, Pilani - Goa Campus
2024-2025
Birla Institute of Technology and Science, Pilani
2022-2024
Indian Institute of Information Technology, Pune
2021
University of York
2020
Samsung (India)
2017
The rise in incidence and prevalence of dementia globally is driving the technological revolution to develop effective healthcare solutions for patients caretakers. These promise enhanced mechanisms manage lifestyle, monitor cognitive performance, ensure security safety elderly, deliver rehabilitation services. In this viewpoint, we contextualize role technology care by elaborating on these discussing associated benefits, opportunities, concerns.
Background Virtual reality (VR)–based goal-oriented games for cognitive assessment are rapidly emerging and progressively being used in neuropsychological settings. These have been validated quantitatively, but minimal qualitative insights from users currently exist. Such on user experience essential to answering critical questions linked the games’ large-scale usability, adoption hospital settings, game design refinement. Current studies these general questionnaires or web-based reviews...
Dementia is a growing public health and health-care problem. Given there no cure for dementia, its early detection critical. This would help in introducing rehabilitation interventions earlier the disease trajectory, potentially slowing down cognitive decline. Subjective Cognitive Decline (SCD) indicative of memory loss/confusion considered among earliest symptomatic indicators preceding Mild Impairment (MCI). Therefore, prediction relevant dementia. Moreover, SCD under-explored not many...
Homeostasis is a biological process by which living beings maintain their internal balance. Previous research suggests that homeostasis learned behaviour. Recently introduced Homeostatic Regulated Reinforcement Learning (HRRL) framework attempts to explain this homeostatic behavior linking Drive Reduction Theory and Learning. This linkage has been proven in the discrete time-space, but not continuous time-space. In work, we advance HRRL time-space environment validate CTCS-HRRL (Continuous...
<sec> <title>BACKGROUND</title> Virtual reality (VR)–based goal-oriented games for cognitive assessment are rapidly emerging and progressively being used in neuropsychological settings. These have been validated quantitatively, but minimal qualitative insights from users currently exist. Such on user experience essential to answering critical questions linked the games’ large-scale usability, adoption hospital settings, game design refinement. Current studies these general questionnaires or...
Abstract Current medical and clinical ecosystem for dementia detection is inadequate its early detection. Traditional cognitive assessments are introduced after impairment has begun to disrupt the real-world functioning of person. Moreover, these tools paper-pen based fail replicate situations wherein person ultimately lives, acts grows. The lack dementia, combined with absence reliable pharmacological cure compound problems associated diagnosis care. Advancement technology facilitated...
Diabetes-depression comorbidity (DDC) adversely affects the quality of life diabetic patients, complicates clinical treatment and makes diabetes management very challenging. Therefore, early identification diagnosis DDC is crucial to prevent complications improve health outcomes among patients. This work explores association between demographic, lifestyle, social economic factors DDC. The analysis based on data obtained from Behavioral Risk Factor Surveillance System (BRFSS), Centers for...
In this era of epidemiological transition, effective maintenance personal lifestyle is touted as a sustainable strategy to minimize the risk contracting related diseases. Understanding cumulative impact multiple habits on overall health can be cognitively challenging for an individual. Therefore, simplify conundrum, we present neural network based HWBI, which helps person understand interventions/habits upon his and well-being. We argue that approach captures inter-relationship between...
The prevalence of type-2 diabetes(T2D) has increased globally. This led to greater mortality, morbidity and disability in the general population. It is thus crucial identify methods prevent its onset among healthy, also discover solutions adequately manage complications those affected. Most research this area focused on role diet exercise. More recently, different exercise types their relationship with T2D received considerable attention. In our work, we investigate association between...