2016 Fiscal Year Research-status Report
Deep Learning Based Physiological Classifier Feedback for Comfortable Navigation
| Project/Area Number |
16K21719
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| Research Institution | Nagoya University |
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Principal Investigator |
MORALES・S Luis・Y 名古屋大学, 未来社会創造機構, 特任准教授 (40586244)
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Keywords | Deep Learning / Autonomous Navigation / Personal Vehicle / Stress Classifier |
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| Outline of Annual Research Achievements |
Bought robotic wheelchair and build communication software to be able to operate it. I did preliminary experiments with a robotic wheelchair available at the Advanced Telecommunications Research Institute (ATR).
Wrote journal paper partially financed with Kaken-hi budget titled: Passenger Discomfort Map for Autonomous Navigation in a Robotic Wheelchair, submitted to Robotics and Autonomous Systems
I submitted a conference paper titled: Analysis of Navigational Habituation to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The first year I prepared the hardware and software platform to start performing experiments on this second year.
Build communication software to operate robotic wheelchair. I did preliminary experiments with a robotic wheelchair available at the Advanced Telecommunications Research Institute (ATR).
Wrote journal paper partially financed with Kaken-hi budget titled: Passenger Discomfort Map for Autonomous Navigation in a Robotic Wheelchair, submitted to Robotics and Autonomous Systems
I submitted a conference paper titled: Analysis of Navigational Habituation to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
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| Strategy for Future Research Activity |
This fiscal year I plan to do autonomous navigation experiments with robotic wheelchair and autonomous car.
I plan to take physiological measurements to start building a classifier that could classify passenger state.
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| Causes of Carryover |
Buy physiological sensors to measure passenger state. Finish robot platform, buy laser sensor for perception and localization.
Call paid participants to perform experiments.
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| Expenditure Plan for Carryover Budget |
Finalize hardware. Physiological sensing devices and robot platform.
Recollect data from experimentation with paid participants.
Experimentation, paper writing and conference attendance.
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