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In this paper, IOT have been playing an immense importance in many fields all around the world. Its applications have contributed to the development of highly accelerated technology which has turned out to be the key component in the digital transformations in the health care industries. The proposed study was based on the development of an emotion response monitoring device on an android platform and also to monitor the data at online basis. The data were collected using three sensors: ECG sensor placed on the chest, EMG sensor placed on the upper trapezius muscle and IMU sensor to determine the head movement. Theses relevant sensors are connected to PIC microcontroller for the data acquisition and conversion to the digital format. The digital data are further directed to the serial port communicator on the PC. The signals are further processed using MATLAB to acquire the necessary features required for the classification of various emotions. The features are trained using SVM classifier and the classified emotions are displaced on the mobile device by an application. It has also been stored on to the cloud via Ethernet in order to access in online at an faster rate. This developed system could be applied in many application concerned with emotion monitoring systems in healthcare and also for future study analysis based on emotions.

Emotion Controlled Health Monitoring System based on IoT Design