392279 ISY Project: Nod Detection with Support Vector Machines (Pj) (SoSe 2018)
Contents, comment
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- Short Description
Head nodding is an important factor in human communication. We suppose that effective nod detection could improve communication in human-robot-interaction. The aim of this project is to develop a head nod detector using support vector machines. We will provide interesting datasets and initial tooling.Please note that the teams will be selected by the supervisors on the basis of short applications that students are expected to send to them. Registering to the project in the ekVV will only be regarded as expression of interest; it will not secure a team membership.
Please get in touch with the supervisors for information on the application procedure.
Requirements for participation, required level
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Required skills:
- Willingness to learn/program in python and/or C++
- interests in machine learning/pattern recognition
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | Gruppenprojekt | Ungraded examination
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Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
T
- Registered number: 3
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- Address:
- SS2018_392279@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Thursday, December 13, 2018
- Last update times:
- Thursday, February 1, 2018
- Last update rooms:
- Thursday, February 1, 2018
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 4
- Department
- Faculty of Technology
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