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on
1
Intro
2
Roadmap
3
Johnny Mnemonic
4
Andy Van Dam
5
What is a 3D gesture
6
Gesture segmentation
7
Nintendo Wiimote
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OneManBand
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Interactive Collaborative Music
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Gesture Set
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Gesture Collection
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User Dependent Training
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User Dependent Training Results
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User Independent Training Results
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Ecological Validity
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Gesture Recognition in Context
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ContextAware Gesture Recognition
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Dynamic Time Warp Gesture Recognition
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Linear classifier
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Results
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InGame Experiment
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InGame Experiment Results
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Jackknife
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Correction Factors
25
Bounding Boxes
26
Evaluation
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Parkour
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Accuracy
29
Future Directions
30
Gestures in the Physical World
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Robots
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Knowledgeability
33
Moving Objects
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Conclusion
35
Question
Description:
Explore key insights and future directions in gesture recognition through this keynote address delivered by Joseph J. LaViola at SUI 2019. Delve into the challenges of creating accurate and robust 3D gestural interfaces, examining research projects aimed at increasing recognizable gestures and evaluating ecological validity. Learn about pen- and touch-based interactive computing, 3D spatial interfaces, and human-robot interaction from LaViola's extensive experience. Gain valuable lessons and discover potential areas for future work in this complex field. The talk covers topics such as gesture segmentation, user-dependent and independent training, context-aware recognition, and in-game experiments, providing a comprehensive overview of the current state and future possibilities of gesture recognition technology.

Gesture Recognition - Key Insights and Future Directions

Association for Computing Machinery (ACM)
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