แนวคิดหลัก
Understanding daily behavior routines is crucial for assessing physical activity levels and promoting health.
บทคัดย่อ
The study explores the synergy of information from various IoT sources to assess behavior routines' alignment with health guidelines. It categorizes days based on physical activity levels, clusters behavior patterns, and visualizes insights for healthcare professionals.
Introduction
Human behavior's impact on health conditions.
Data Collection
Sensors used: wristbands, smartphones, ambient sensors.
Behavior Analysis
Grouping behaviors based on physical activity levels.
Location-Based Clustering
Insufficient group: 2 clusters identified with distinct routines.
Activity-Based Clustering
Sufficient group: 3 clusters based on activities like sleeping and watching TV.
Desirable Physical Activity Level
Desirable group: 3 location-based clusters with varying routines.
Calendar View
Visual representation of variations in behavior routines over time.
สถิติ
Utilising data from wristbands, smartphones, and ambient sensors.
Recommended daily steps for physical activity: 4,000-18,000 steps per day.
COVID-19 lockdown and Ramadan events influenced behavior changes.