An Autoencoder Framework for Few-Shot Human Activity Recognition with Sensor Data

Zhengxue Han; Mingshu He

doi:10.1007/978-981-96-2468-3_16

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An Autoencoder Framework for Few-Shot Human Activity Recognition with Sensor Data

Zhengxue Han Mingshu He

Year: 2025 Lecture notes in electrical engineering Pages: 177-195 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-96-2468-3_16

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Keywords:

Autoencoder Shot (pellet) Computer science Artificial intelligence Pattern recognition (psychology) Activity recognition Deep learning Materials science

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Topics

Context-Aware Activity Recognition Systems

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

An Autoencoder Framework for Few-Shot Human Activity Recognition with Sensor Data

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Topics

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