| Group |
2016-7 |
Status |
completed |
| Title |
Sensor technology to detect footwear slippage |
| Supervisor |
Dr. Glenn Cowan |
| Description |
Falls represent a serious on-the-job hazard for people who work outdoors in the winter. Winter boots must provide sufficient warmth and grip. Aside from choosing the appropriate footwear, falls may be reduced if outdoor workers perform certain preparatory exercises before heading outside. While falls may be relatively infrequent, they can cause serious injury. Slips from which the person recovers may occur more frequently and provide useful insight into the effectiveness of footwear or worker training initiatives. Researchers studying footwear design and the training of outside workers need a non-obtrusive device to detect when users slip. Such a device must be able to run on small batteries for an entire work day and using appropriate sensors, gather sufficient data that when analyzed off-line can indicate the number of slips that occurred during the day. Other data relevant to researchers such as the speed of walking and the slope of the terrain should also be recorded.
This project will be completed with input directly from experts in human locomotion.
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| Requirement |
Electronics (ELEC 312), micro-controller programming (COEN316/317), programming in high-level languages (COEN352), DSP (ELEC 442), analog filters (ELEC 441), machine learning (for the post processing). An interest in human locomotion is an important asset for this project. |
| Tools |
Code composer for micro controllers. Scopes etc for the analog interface circuitry.
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| Number of Students |
5 |
| Students |
Ahmad Choukair,Nauman Saeed Mirza,Ahmed Popal, Philippe Sylvestre, Dimitrios Ziavras |
| Comments: |
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