A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

Sravan Kumar Challa; Akhilesh Kumar; Vijay Bhaskar Semwal

doi:10.1007/s00371-021-02283-3

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A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

Sravan Kumar Challa Akhilesh Kumar Vijay Bhaskar Semwal

Year: 2021 Journal: The Visual Computer Vol: 38 (12)Pages: 4095-4109 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-021-02283-3

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Keywords:

Computer science Activity recognition Wearable computer Convolutional neural network Artificial intelligence Benchmark (surveying) Pattern recognition (psychology) Feature extraction Process (computing) Feature (linguistics) Deep learning Feature engineering Filter (signal processing) Machine learning Data mining Computer vision Embedded system

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Context-Aware Activity Recognition Systems

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

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