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Emotion Recognition System for Patients with Behavioral Disorders

  • Aakash Verma
  • Astha Dogra
  • Ketan Malik
  • Meenkshi Talwar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)

Abstract

According to a WHO survey in 2014, “One in four people in the world will be affected by mental or neurological disorders at some point in their lives.” This survey tells that a lot of population is affected with mental disorders, going through various struggles, which they did not opt for. They usually do not understand different emotions and are even unable to express them. So, this paper presents an Arduino-based wearable system for detecting emotions for patients with behavioral disorders. GSR sensor and pulse sensor record body parameters to assess the emotion of wearable and display it using different colors on the light indicator mounted on the wearable itself so that the patient can be taught about different emotions using color of indicator and other persons can be made aware of the mood of the patient. This data will also be saved using IoT enabling the doctor to do real-time monitoring.

Keywords

Behavioral disorders Emotions Graph GSR sensor IoT Pulse sensor Wearable 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Aakash Verma
    • 1
  • Astha Dogra
    • 1
  • Ketan Malik
    • 1
  • Meenkshi Talwar
    • 1
  1. 1.University of Petroleum and Energy StudiesDehradunIndia

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