P2EI-WEALTH (Physiological and Psychological Edge Intelligence WEArable LoRa HealTH) System for Remote Indigenous Community and Disaster Recovery Operationsn
Project Introduction
In the era of IoT and beyond, the urban and suburban population health monitoring is transitioning to use of wearables and intelligent health support systems. Unfortunately, indigenous people and search and rescue operators, who are often in remote and dangerous areas, cannot benefit from the advantages due to limited connectivity, often caused by the lack of infrastructure. Furthermore, current wearables have only provided physiological measurements but not psychological, which is a growing concern worldwide. In this project, a novel integrated IoT wrist-wearable with physiological and psychological biosensors are proposed with complementary activity, environmental, and position sensors to provide alerts and localization data relevant to the indigenous people and disaster recovery operations. The system will be empowered by edge intelligence and wireless LoRa-link to an in-vehicle or stationary data center. With this solution, the medic or emergency medical service (EMS) personnel will be able to know the real-time conditions and able to decide on any intervention.
Project Members
* Project Leader
Project Members | |
---|---|
Full Name | Department, Institution, Country |
Asma Abu-Samah * | Universiti Kebangsaan Malaysia, Malaysia |
Rosdiadee Nordin | Universiti Kebangsaan Malaysia, Malaysia |
Nor Fadzilah Abdullah | Universiti Kebangsaan Malaysia, Malaysia |
Mohd Radzi Ab Rahim | Universiti Kebangsaan Malaysia, Malaysia |
Reginald Juan Magpantay Mercado | GTek Entreprise, Philippines |
Xarxes C. Alejos | GTek Entreprise, Philippines |
Jennifer C. De La Cruz | Mapua University, Philippines |
Glenn V. Magwili | Mapua University, Philippines |
- Project Introduction[PDF 935KB]
- 2022 progress report[PDF 2.05MB]
- 2023 project review[PDF 2.80MB]
- 2024 project review[PDF 5.65MB]
- Travelling to field test sites and project meeting report 2022 (docx)
- Travelling to field test sites and project meeting report 2023[PDF 1.58MB]
- ICTC 2024 Conference Report[PDF 1.86MB]
- ICTC 2024 Conference Schedule[PDF 498KB]
- ICTC 2024: Application of Machine Learning for Panic Attack Detection using Health Wearable Sensors[PDF 2.84MB]
- ICTC 2024: Indigenous Community Connectivity: Enhancing LoRaWAN Performance through Machine Learning in Palm Oil Plantations[PDF 5.99MB]
- Deployment of TinyML-Based Stress Classification Using Computational Constrained Health Wearable - Report and Journal Paper[PDF 2.51MB]