- With : Miklos KOLLER, Sándor FOLDI
- Meeting : Every Monday and Thursday 11:00 AM (in-person)
- Work location : Sensory Robotics lab of the Pázmány Péter Catholic University Faculty of Information Technology and Bionics or at home
- Link to GIS - Guided Individual Study
You can check my Todolist and my Logbook
The main goal here is to learn about infrared sensor-based human-machine interfaces that already exist in the academia, to design an own hardware software system based on good practices, and to carry out experimental measurements.
Main steps
- Get familiar with the biological background - the structural and functional properties of the hand. (max 1.5 - 2 weeks)
- Investigate the literature of the near infrared-based measurements (max 1.5 - 2 weeks)
- Design a system
- Make different measurements, constantly evaluate the results, finetune the system setup (measurement wavelength, geometrical relations, maybe even the measurement mode itself (continuous vs. time-based vs. frequency based)).
- Compare your findings with the literature.
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SensIR: Detecting Hand Gestures with a Wearable Bracelet using Infrared Transmission and Reflection
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Gesture Recognition for Trans-humeral Prosthesis Control Using EMG and NIR
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Hand Gesture Recognition Based on Near-Infrared Sensing Wristband
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Near-infrared spectroscopy as a tool for in vivo analysis of human muscles
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Understanding near infrared spectroscopy and its application to skeletal muscle research
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Performance comparison of several published tissue near-infrared spectroscopy algorithms
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A Wireless 2-Channel Layered EMGNIRS Sensor System for Local Muscular Activity Evaluation
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Gesture Recognition for Trans-humeral Prosthesis Control Using EMG and NIR