Name
Abstract | ||
|---|---|---|
Sometimes mental stress needs to be control as it results in different dangerous suffering. Timely mental stress detection can help to prevent stress related health problems. The aim of this paper is to design an IoT base wearable, cost effective and low power smart band for health care that detect mental stress based on skin conductance. This band can monitor user's mental stress continuously and transmit the stress related data wirelessly to user's smart phone. It not only help the users in better understanding their stress patterns but also provide the physician with reliable data for a much better treatment. Inputs to this device are various signals from different sensors. By intelligently analyzing the correlation between these signals using machine learning algorithm, this band predicts that whether the subject is suffering from stress or not. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICITCS.2015.7293017 | 2015 5th International Conference on IT Convergence and Security (ICITCS) |
Keywords | Field | DocType |
IoT basedsmart wearable band,mental stress detection,stress related health problems,Internet of Things,smart phone,stress patterns,signal correlation,machine learning algorithm | Health care,Wearable computer,Computer science,Internet of Things,Human–computer interaction,Mental stress,Smart phone,Embedded system,Skin conductance | Conference |
ISSN | Citations | PageRank |
2473-0122 | 1 | 0.36 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Zubair | 1 | 45 | 16.50 |
| Changwoo Yoon | 2 | 3 | 1.45 |
| Hyunyoung Kim | 3 | 1 | 3.40 |
| Jisu Kim | 4 | 211 | 28.11 |
| Jinsul Kim | 5 | 81 | 25.54 |