INODEX 2021 BRONZE MEDAL FOR MANIPAL INTERNATIONAL UNIVERSITY
Date: January 05, 2022 |Published by: MIU | Category: Blogs
A group of researchers which is leaded by Ts. Dr. Ahmad Anwar Zainuddin has won a Bronze medal in the International Invention, Innovation & Design Expo ( INoDex 2021) organized by Universiti Sains Malaysia (USM). The project is entitled MODELLING OF IOT AND COMPUTER VISION ASSOCIATED PMS (ICV-PMS) FOR BIO-SIGNAL MONITORING AND EMOTION RECOGNITION(https://icosemt.usm.my/media/attachments/2021/11/12/inodex-2021-proceedings-e-book.pdf. This project offers an ICV-PMS patient monitoring system prototype that automatically determines a patient's emotional state using face recognition algorithms, heartbeat levels, and body temperature. The emotion module predicts the patient's feeling in real-time, while the bio-signal module monitors vital signs. This system's data visualization allows medical personnel to respond quickly to a patient's emergency or discomfort. The AI model can estimate the patient's sentiment based on their facial expressions. Emotion recognition is 72.1 percent accurate. The crucial data from bio-signal monitoring, such as heartbeat and body temperature, assist the medical personnel continuously care for the patient. The ICV-PMS prototype can generate a bio-signal module to visualize vital indicators. Because the ICV-PMS prototype is wireless, it is portable and may be utilized anywhere. The ICV-PMS prototype is expected to provide incredibly valuable information for a reliable system with accurate and rapid results, and reliable service and intelligence collection operations. The work was funded by the School of Engineering and Computing at Manipal International University (MIU) in Negeri Sembilan, Malaysia.
This project is fully supported by Advance Computer Engineering and Technology (ACET) Research Group, MIU. Publication:
1. Nair, R. S., Lawrence, J. M., Vyakaranam, A., Svpk, S. D., Shameem, S. S. S., Sulo, R., ... & Mansor, A. F. (2021, April). Recent Trends and Opportunities of Remote Multi-Parameter PMS using IoT. In 2021 3rd East Indonesia Conference on Computer and Information Technology (EIConCIT) (pp. 325-329). IEEE.
2. Zainuddin, A. A., Superamaniam, S., Andrew, A. C., Muraleedharan, R., Rakshys, J., Miriam, J., ... & Taufik, M. S. M. (2020, September). Patient Monitoring System using Computer Vision for Emotional Recognition and Vital Signs Detection. In 2020 IEEE Student Conference on Research and Development (SCOReD) (pp. 22-27). IEEE.