Ultrasound-Based Gesture Recognition
- Amit Das | University of Illinois
Sensing technologies have been steadily gaining popularity since they can provide useful and complementary data in Human Computer Interaction (HCI) algorithms. In this study, we explore the feasibility of using ultrasonic imaging to recognize hand gestures. This is a potentially low cost, low computation, and low power alternative to existing methods which use optical imaging.
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Ivan Tashev
Partner Software Architect
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Series: Microsoft Research Talks
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Decoding the Human Brain – A Neurosurgeon’s Experience
- Dr. Pascal O. Zinn
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Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
- Hanuma Kodavalla,
- Phil Bernstein
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Improving text prediction accuracy using neurophysiology
- Sophia Mehdizadeh
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Tongue-Gesture Recognition in Head-Mounted Displays
- Tan Gemicioglu
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DIABLo: a Deep Individual-Agnostic Binaural Localizer
- Shoken Kaneko
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Audio-based Toxic Language Detection
- Midia Yousefi
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From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
- Forrest Iandola,
- Sujeeth Bharadwaj
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Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
- Ashique Khudabukhsh
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Towards Mainstream Brain-Computer Interfaces (BCIs)
- Brendan Allison
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Learning Structured Models for Safe Robot Control
- Subramanian Ramamoorthy
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