An overview of methods and techniques in multimodal data fusion with application to healthcare

S Chaabene, A Boudaya, B Bouaziz… - International Journal of …, 2025 - Springer
Multimodal data fusion in healthcare platforms aligns with the principles of predictive,
preventive, and personalized medicine (3PM) by harnessing the power of diverse data …

Research study and system design for evaluating student stress in Indian Academic Setting

PKR Yannam, V Venkatesh… - 2022 14th International …, 2022 - ieeexplore.ieee.org
Growing mental health issues amongst young adults is a huge concern and needs to be
promptly addressed in India, one of the highest youth populations. Academic and emotional …

Uaed: Unsupervised abnormal emotion detection network based on wearable mobile device

J Zhu, F Deng, J Zhao, D Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of the internet-of-medical-things, health monitoring through
physiological signals has become a critical task. Given this opportunity, research on …

Embedded Machine Learning: Towards a Low-Cost Intelligent IoT edge

AT Shumba, T Montanaro, I Sergi… - … on Smart and …, 2022 - ieeexplore.ieee.org
Deploying Machine Learning algorithms at the network edge is an ongoing research goal for
both industry and academic researchers. Owing to the ubiquitous nature of Internet of Things …

Physiological Data-Based Stress Detection: From Wrist Sensors to Cloud Computing and User Feedback Integration

GR Karpagam, HV VM, KK Kabilan… - … on Smart Systems …, 2024 - ieeexplore.ieee.org
Stress Detection employing physiological data desires to grasp and apprehend physical and
physiological signals. Skin conductance, three axes acceleration and temperature data are …