Name
Abstract | ||
|---|---|---|
In today’s world, there is rapid change in lifestyle and the workload is also increasing. There is a high need to create a tool which will monitor the physical and mental health of a person during daily life. Stress and fatigue level of an individual can be monitored by recording parameters like Temperature, Heart Rate, ECG, and Galvanic Skin Response of hand or foot (GSR) over a period of time. In this paper we have proposed a machine, which will help in attendancei marking of students and also help in the health checkup process, by recording health parameters from connected sensors (temperature, heart rate, SPO2) and also capture front face videos, and then take out features and analyse the face emotions to help us to detect stress or any signs of depression in the student. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/iSES52644.2021.00072 | 2021 IEEE International Symposium on Smart Electronic Systems (iSES) |
Keywords | DocType | ISBN |
Face detection,Primary health checkup,embedded system,stress management | Conference | 978-1-6654-1618-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pranjal Patel | 1 | 0 | 0.34 |
| Shriram Sharma | 2 | 0 | 0.34 |
| Pritesh Sutrakar | 3 | 0 | 0.34 |
| Hemant Kumar | 4 | 0 | 0.34 |
| Devender Pal Singh | 5 | 0 | 0.34 |
| Menka Yadav | 6 | 0 | 0.34 |