Abstract
The goal of the project is to determine if people wear Fitness Bands that portray the amount of sleep they get daily and determine the correlation between the amount and quality of sleep compared to a number of factors like nervousness, memory and concentration. The data was collected by an online survey, and the analysis was conducted in Python, which proved the hypothesis that the lack of sleep reduces self-assessment mental acuity.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Networks and Systems |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 33-40 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2024 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 875 |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Data analysis
- Deep sleep
- Machine Learning
- Python
- REM
- Sleep
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Computer Networks and Communications
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