Non-Invasive Fatigue Detection and Human–Machine Interaction Using LSTM and Multimodal AI: A Case Study
Fatigue in high-stress work environments poses significant risks to employee performance and safety. This study introduces a non-invasive fatigue detection system utilizing facial parameters processed via a Long Short-Term Memory (LSTM) neural network, coupled with a human–machine interaction interf...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Multimodal Technologies and Interaction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2414-4088/9/6/63 |
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