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Role of IoT and Data Analysis in Determining Mental Well-Being

EasyChair Preprint no. 7838

4 pagesDate: April 28, 2022

Abstract

IoT devices like Fitness bands and smartwatches can play a key role in determining the mental health of people. We have seen the rising trend in people integrating them in their lifestyle and smartphone applications being developed to detect step count and sleep monitoring through their sensory perceptions and GPS functions. Analysing the data generated by them we can get clear insights into the factors to detect declining mental health.

We analysed, data from The DISCover project to build a classification model in Logistic Regression to find if the patients mental health is declining, using the physical symptoms monitored in the commercially available wearable bands.

Previous researches show a negative correlation between physical activities and phq9 scores of patients. We found that IoT devices can play a major role in researching mental health as done in the research Digital Signals in Chronic Pain done in Evidation Health, along with step count and activity tracking have a higher rate in predicting mental health compared to sleep data generated in fitness bands even without taking the emotional attributes.

Keyphrases: discover, Evidation, Fitbit, Health, PHQ9, Python

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:7838,
  author = {Prabhav Sharma and Jyoti Kori},
  title = {Role of IoT and Data Analysis in Determining Mental Well-Being},
  howpublished = {EasyChair Preprint no. 7838},

  year = {EasyChair, 2022}}
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