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My research work for "Smarter Environments", a collaboration between ARUP IoT and USC - Occupancy prediction and profiling / Laptop usage prediction and profiling

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Life Of A Desk - Smarter Environments with ARUP

By Abinaya Manimaran and Ashrant Aryal at Innovation in Integrated Informatics LAB - iLab, University of Southern California

Occupancy Prediction and Profiling

  • Predicts the occupancy of the person in the desk based on motion sensor data
    • person present in the desk
    • person not present in the desk
  • Profiling of occupancy - output is the probability of the person being present at a desk:
    • For all weekdays and weekends separately
    • Probability of occupancy at different time of day

model-1

Laptop Usage Prediction and Profiling

  • Predicts the laptop usage by a person based on power consumption data
    • laptop switched OFF
    • laptop in hibernation/standby mode
    • laptop switched ON
  • Profiling of power - output is the probability of laptop usage by the person for three different modes
    • For all weekdays and weekends separately
    • Probability of laptop usage at different time of days

model-2

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  • Python 100.0%