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Basics of Activity Recognition and its Industrial Applications – Case Study

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Type of course:

Digital learning, Lesson

Language:

EN

Duration:

30 minutes

Workload:

2 hours

Proficiency:

Intermediate

Target:

Manager, Professionals, Students, Workers

Monitoring worker productivity is one of the industrial scenarios in which an activity recognition system can be applied. A traditional method for measuring worker productivity is time study. Collecting data about work activities and processing times of activities is a bottleneck of the time study method.

This nugget guides the learner through the case study related to the development of an activity recognition system for the time study method. You will learn how to apply and select algorithms for the case study task, and how to analyse and interpret results obtained by such a system.


Topics

Digital Transformation, Artificial Intelligence (AI), Data mining, Data Analytics

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Content created in 2022
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