| Trial Project |
Machine Learning based Continuous Authentication by People's Gait Pattern
(REF : P-0071)
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| Matched I&T Wish |
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| Matched I&T Solution |
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| Solution Feature |
- The objective of the solution is to provide a real-time management tools for the site management team in HQ, who can monitor the workers activities in a remote site.
- Work with management team, especially who has a lot of remote sites and has various sub-contractors who are necessary to work on these remote sites from time to time.
- The technology of the service is the Continuous Authentication by People’s Gait Pattern. Any worker working in the site can be identified.
- Other than identifying if he is a right worker authorized to work in the site at the schedule date and time, it is possible to detect the accident of the worker.
- Other kind of activity detection will be support, e.g. stationary, climbing, walking quickly around, up and down stairs, as well as their indoor location history.
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| Trial Information |
| Trial Site |
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EMSD Headquarters |
| Trial Scale |
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1 set of gait analyzing algorithm using AI |
| Trial Duration |
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1 March 2019 to 31 September 2019 |
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| Final Report |
EMSD-M&V-P0071-W0151-S0093_Final.pdf
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| Info on I&T Solution Provider |
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