Jaiteg Singh
Biographic Data
| ID | 7568241 |
|---|---|
| NAME | Jaiteg Singh |
| GIVEN NAMES | Jaiteg |
| FAMILY NAME | Singh |
| SIGNATURE | SINGH J |
| AFFILIATIONS | Chitkara University |
| ORCID | 0000-0002-2370-9384 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Comprehensive Review of Microexpression Recognition, Classification, and Datasets
Facial microexpressions (MEs) are brief, involuntary facial movements that reveal genuine emotions a person attempts to suppress or conceal. Their short duration and low intensity pose considerable challenges for human observers and automated recognition systems, yet MEs hold practical value in psychotherapy, deception detection, marketing, and public safety. Several surveys have reviewed ME recognition, but most are primarily descriptive and lac…
Smart waste management
A 3D Model-Based Framework for Real-Time Emergency Evacuation Using GIS and IoT Devices
Advancements in 3D modelling technology have facilitated more immersive and efficient solutions in spatial planning and user-centred design. In healthcare systems, 3D modelling is beneficial in various applications, such as emergency evacuation, pathfinding, and localization. These models support the fast and efficient planning of evacuation routes, ensuring the safety of patients, staff, and visitors, and guiding them in cases of emergency. To i…
A robust, real-time camera-based eye gaze tracking system to analyze users’ visual attention using deep learning
Eye gaze tracking has recently become indispensable for domains like virtual reality, augmented reality, human–computer interaction and advertisement. The commercial eye gaze tracking equipment is too expensive to be used by the masses. In this manuscript, a non-invasive, low-resolution ordinary camera-based system has been proposed for tracking eye gaze. The proposed system attained an accuracy of 84% without requiring any costly equipment or in…
AI student success predictor
Public mental health through social media in the post Covid-19 era
Social media is a powerful communication tool and a reflection of our digital environment. Social media acted as an augmenter and influencer during and after COVID-19. Many of the people sharing social media posts were not actually aware of their mental health status. This situation warrants to automate the detection of mental disorders. This paper presents a methodology for the detection of mental disorders using micro facial expressions. Micro-…
An enhanced diabetes prediction amidst Covid-19 using ensemble models
In the contemporary landscape of healthcare, the early and accurate prediction of diabetes has garnered paramount importance, especially in the wake of the COVID-19 pandemic where individuals with diabetes exhibit increased vulnerability. This research embarked on a mission to enhance diabetes prediction by employing state-of-the-art machine learning techniques. Initial evaluations highlighted the Support Vector Machines (SVM) classifier as a pro…
D indoor modeling and game theory based navigation for pre and post Covid-19 situation
The COVID-19 pandemic has greatly affected human behavior, creating a need for individuals to be more cautious about health and safety protocols. People are becoming more aware of their surroundings and the importance of minimizing the risk of exposure to potential sources of infection. This shift in mindset is particularly important in indoor environments, especially hospitals, where there is a greater risk of virus transmission. The implementat…
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Public mental health through social media in the post Covid-19 era
Social media is a powerful communication tool and a reflection of our digital environment. Social media acted as an augmenter and influencer during and after COVID-19. Many of the people sharing social media posts were not actually aware of their mental health status. This situation warrants to automate the detection of mental disorders. This paper presents a methodology for the detection of mental disorders using micro facial expressions. Micro-…
An enhanced diabetes prediction amidst Covid-19 using ensemble models
In the contemporary landscape of healthcare, the early and accurate prediction of diabetes has garnered paramount importance, especially in the wake of the COVID-19 pandemic where individuals with diabetes exhibit increased vulnerability. This research embarked on a mission to enhance diabetes prediction by employing state-of-the-art machine learning techniques. Initial evaluations highlighted the Support Vector Machines (SVM) classifier as a pro…
D indoor modeling and game theory based navigation for pre and post Covid-19 situation
The COVID-19 pandemic has greatly affected human behavior, creating a need for individuals to be more cautious about health and safety protocols. People are becoming more aware of their surroundings and the importance of minimizing the risk of exposure to potential sources of infection. This shift in mindset is particularly important in indoor environments, especially hospitals, where there is a greater risk of virus transmission. The implementat…
A 3D Model-Based Framework for Real-Time Emergency Evacuation Using GIS and IoT Devices
Advancements in 3D modelling technology have facilitated more immersive and efficient solutions in spatial planning and user-centred design. In healthcare systems, 3D modelling is beneficial in various applications, such as emergency evacuation, pathfinding, and localization. These models support the fast and efficient planning of evacuation routes, ensuring the safety of patients, staff, and visitors, and guiding them in cases of emergency. To i…
A robust, real-time camera-based eye gaze tracking system to analyze users’ visual attention using deep learning
Eye gaze tracking has recently become indispensable for domains like virtual reality, augmented reality, human–computer interaction and advertisement. The commercial eye gaze tracking equipment is too expensive to be used by the masses. In this manuscript, a non-invasive, low-resolution ordinary camera-based system has been proposed for tracking eye gaze. The proposed system attained an accuracy of 84% without requiring any costly equipment or in…
AI student success predictor
Smart waste management
A Comprehensive Review of Microexpression Recognition, Classification, and Datasets
Facial microexpressions (MEs) are brief, involuntary facial movements that reveal genuine emotions a person attempts to suppress or conceal. Their short duration and low intensity pose considerable challenges for human observers and automated recognition systems, yet MEs hold practical value in psychotherapy, deception detection, marketing, and public safety. Several surveys have reviewed ME recognition, but most are primarily descriptive and lac…
Computer Science (6 works) · Artificial Intelligence (4 works) · Psychology (3 works) · 3D Modeling in Geospatial Applications (2 works) · Artificial Intelligence in Healthcare (2 works) · COVID-19 diagnosis using AI (2 works) · Deep learning (2 works) · Engineering (2 works) · Evacuation and Crowd Dynamics (2 works) · Simulation (2 works)