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About Accepted Manuscript: Applied Soft Computing
This document summarizes a research paper that proposes using convolutional neural networks to recognize human activities in real-time from accelerometer data. The paper presents a model that uses a shallow CNN to extract local features from time series data along with statistical features encoding global characteristics. The model is tested on two datasets and shown to achieve state-of-the-art accuracy while allowing real-time classification by limiting input to 1 second of data. The source code is also made publicly available.
Detailed Information
| Author: | ['DivaElektronik'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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