Thursday 25th of April 2024
 

Evaluation of Activity Recognition Algorithms for Employee Performance Monitoring


Mehreen Mumtaz and Hafiz Adnan Habib

Successful Human Resource Management plays a key role in success of any organization. Traditionally, human resource managers rely on various information technology solutions such as Payroll and Work Time Systems incorporating RFID and biometric technologies. This research evaluates activity recognition algorithms for employee performance monitoring. An activity recognition algorithm has been implemented that categorized the activity of employee into following in to classes: job activities and non-job related activities. Finally, the algorithm will compute the time which employee spent in job related and non-job related activities. This paper presents a novel architecture based upon video analytics that can facilitate Human Resource Managers in real time.

Keywords: Video Analytics; Human Activity Recognition; Human Resource Management., Paper Submission.

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ABOUT THE AUTHORS

Mehreen Mumtaz
Taxila, 47080, Pakistan

Hafiz Adnan Habib
Taxila, 47080, Pakistan


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