Detection of human activities using multi-layer convolutional neural network
Abstract Human Activity Recognition (HAR) plays a critical role in fields such as healthcare, sports, and human-computer interaction. However, achieving high accuracy and robustness remains a challenge, particularly when dealing with noisy sensor data from accelerometers and gyroscopes. This paper i...
| الحاوية / القاعدة: | Scientific Reports |
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| المؤلفون الرئيسيون: | , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Nature Portfolio
2025-02-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41598-025-90307-6 |