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Controlling human stress levels using e-Health sensor platformDecember 19, 2016

Nowadays there are a wide range of devices used to monitor biometric parameters and to send the data gathered to the cloud in order to control different physical situations. Their scope of activity is endless. You can find this kind of equipment from sports field, with a huge variety of wearables, such us the Autonomous Biometric Sensor Device with Remote Monitoring in Real Time with e-Health sensor platform we shown some time ago; to the neuro-marketing or the ehealth sphere, such us the 'Zero Calories Can Dispenser' or the 'Partymeter' projects we developed for a music festival.

The deployment we bring today, the AICARP project project, is halfway between eHealth and education. It is a project to detect how some biometric parameters change when a person faces a stressful situation, specifically in an oral exam using a foreign language. Project developers have included an alerts system to notice when the person is getting nervous.

AICARP Project

The AICARP Project device

The hardware base is our well-known e-Health Sensor Platform and it is developed over an Arduino UNO board. The project uses three different sensors, concretely:

AICARP Project

SPO2 Sensor, GSR sensor and Temperature sensor

AICARP Project

AICARP Project device

How does it function?

Firstly, the system checks the biometric parameters at rest. Then, using some algorithms, it calculates a 'Stress Level'. Finally, it monitors the individual biometric parameters in real-time during specific situation as an oral exam. When stress data levels, previously settled, are getting closer to this level, the system trigger off different actuators, such us light, sound or vibrating signals, in order to notify the person is getting stressed. Data collected is shown in a visualizing interface implemented in MATLAB. The details about the AICARP platform have been published in the journal IEEE Sensors.

Light signals

Light signals

MATLAB visualizer

MATLAB visualizer

The AICARP project is being carried out by aDeNu, a research group belonging to the Artificial Intelligence Departament of UNED, in collaboration with a researcher of the Electronics Technology area of the University Rey Juan Carlos. This project shows the versatility of Cooking Hacks e-Health Sensor Platform and the variety of applications that professional projects can deploy for eHealth developments.

All the eHealth Sensor Platform components used in this project belonged to the previous version, but do not worry about it because we have released the new generation of eHealth platform: MySignals, the most complete eHealth development platform in the market which enables to connect more than 15 sensors, including the ones used in AICARP project. You can select from different kits, MySignals Hardware and MySignlas Software, or buy all components separately.

MySigals includes more powerful capabilities than e-Health Sensor Platform, taking the eHealth applications to a top level, so take advantage of Mysignals new features and start developing the most professional eHealth deployments.

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