Ultrasound-Based Gesture Recognition
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.
- Séries:
- Microsoft Research Talks
- Date:
- Haut-parleurs:
- Amit Das
- Affiliation:
- University of Illinois
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Ivan Tashev
Partner Software Architect
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Taille: Microsoft Research Talks
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Decoding the Human Brain – A Neurosurgeon’s Experience
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- Ivan Tashev
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Galea: The Bridge Between Mixed Reality and Neurotechnology
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- Conor Russomanno
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Current and Future Application of BCIs
Speakers:- Christoph Guger
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Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
Speakers:- Hanuma Kodavalla,
- Phil Bernstein
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Improving text prediction accuracy using neurophysiology
Speakers:- Sophia Mehdizadeh
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DIABLo: a Deep Individual-Agnostic Binaural Localizer
Speakers:- Shoken Kaneko
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Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Speakers:- Kai Zhen
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Audio-based Toxic Language Detection
Speakers:- Midia Yousefi
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From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Speakers:- Sujeeth Bharadwaj
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Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Speakers:- Monojit Choudhury
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'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Speakers:- Peter Clark
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Checkpointing the Un-checkpointable: the Split-Process Approach for MPI and Formal Verification
Speakers:- Gene Cooperman
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Learning Structured Models for Safe Robot Control
Speakers:- Ashish Kapoor
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