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1
Introduction
2
Behavior Recognition Pipeline
3
Sensor Data Challenges
4
Representation Learning
5
Temporal Segmentation
6
Applications
7
Preprocessing
8
Segmentation
9
Voice Learning
10
Context
11
Example
12
Domain Adaptation
13
Conclusion
14
Questions
Description:
Explore cutting-edge techniques for recognizing human behavior patterns from sensor data in this insightful conference talk. Delve into the challenges of processing sensor information and learn about innovative approaches to representation learning and temporal segmentation. Discover how voice learning and context play crucial roles in behavior recognition, and gain valuable insights into domain adaptation strategies. Understand the complete behavior recognition pipeline, from preprocessing to application, and explore real-world examples that demonstrate the power of transferable human behavior representations.

Learning Transferable Human Behavior Representations From Sensor Data - Flora Salim

Association for Computing Machinery (ACM)
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