Sensor-Based Open-Set Human Activity Recognition Using Representation Learning With Mixup Triplets
The main objective of sensor-based human activity recognition (HAR) is to classify predefined human physical activities with multichannel signals acquired from wearable sensors. In a real-world scenario, signal data is changing over time and undefined activities may occur. Thus, an open-set classifi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9945967/ |