Emotion detection using generative adversarial network

S Das, A Ghosh - Generative Adversarial Networks and Deep …, 2023 - taylorfrancis.com
With the rapid design and development of innovative technologies and techniques for audio,
text, and image processing, several effective and efficient deep learning methods are …

A gamified app for supporting undergraduate students' mental health: A feasibility and usability study

I Nicolaidou, L Aristeidis, L Lambrinos - Digital Health, 2022 - journals.sagepub.com
Resilience, a person's mental ability to deal with challenging situations adaptively, is an
important life skill. Supporting students in building psychological resilience and co** …

Analysis of barriers of mHealth adoption in the context of sustainable operational practices in health care supply chains

S Swain, K Muduli, A Kumar, S Luthra - International Journal of …, 2024 - emerald.com
Purpose The goal of this research is to analyse the obstacles to the implementation of
mobile health (mHealth) in India and to gain an understanding of the contextual inter …

Enhancing Emotional Well-Being With IoT Data Solutions for Depression: A Systematic Review

S Zamani, R Sinha, M Nguyen… - IEEE Journal of …, 2025 - ieeexplore.ieee.org
Effectively caring for adults with depression is challenging. While technology offers potential
improvements in emotional well-being through better monitoring, standardised methods to …

An automatic approach to control wheelchair movement for rehabilitation using electroencephalogram

D Bag, A Ghosh, S Saha - Design and Control Advances in Robotics, 2023 - igi-global.com
Modern science and technology development enables humans to control devices using their
brains. brain computer interface (BCI) system using EEG (Electroencephalogram) is a non …

Redesign of an m-Health Application for Individuals with Bipolar Disorder: A Strategy for User Adherence and Effective Data Collection

AG Mondéjar, GFM Silva-Calpa… - 2024 IEEE 12th …, 2024 - ieeexplore.ieee.org
Bipolar Disorder (BD) is a condition marked by fluctuations in mood, activity, and self-
awareness of the illness that impacts around 1.9% of individuals worldwide. Several studies …

A Review on the Applications of Unmanned Aerial Vehicles and Internet of Things Towards Smart Farming

C Mistry, A Ghosh, M Biswas, A Basak… - … Aerial Vehicles and …, 2022 - igi-global.com
In order to commercialize in the industry, various sensors and electrical gadgets are used to
keep prices low in a few fields. Unmanned aerial vehicles (UAVs) can be utilized for …

An Explainable Deep Learning Approach for EEG-Induced Motor Imagery Classification

B Ganguly, A Ghosh, S Dey, I Sarkar… - 2023 IEEE 20th India …, 2023 - ieeexplore.ieee.org
Movement interpretation from the motor imagery (MI) signal of electroencephalogram (EEG)
is an emerging field that can potentially upgrade the quality of life of individuals with motor …

Combination of Sensors-Based Monitoring System and Internet of Things (IoT): A Survey and Framework for Remote and Intensive Care Unit Patients

MA Islam, KZ Mostofa, H Mohafez… - Non-Invasive Health …, 2024 - taylorfrancis.com
The Internet of Things (IoT) has enabled new features and applications in various sectors
including agriculture, education, business, defense, security, and healthcare. With the onset …

[NAVEDBA][C] 413 Combination of Sensors-Based Monitoring System and Internet of Things (IoT) A Survey and Framework for Remote and Intensive Care Unit Patients

MA Islam, KZ Mostofa, H Mohafez, MJ Hossen… - Non-Invasive Health … - CRC Press