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README.md CHANGED
@@ -28,7 +28,6 @@ The data were collected using **SilentWear**, an unobtrusive, ultra-low-power EM
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  ![SilentWear Signals](./images/signals.png)
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  ---
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  # Dataset Description
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  The dataset includes recordings from:
@@ -50,10 +49,7 @@ Further details on the data collection methodology are available at:
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  https://arxiv.org/placeholder
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  ---
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  # Repository Organization
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  The repository contains two subfolders:
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  ### 1️⃣ `data_raw_and_filt`
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@@ -65,7 +61,7 @@ Each file:
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  - Contains filtered EMG signals (4th-order high-pass at 20 Hz + 50 Hz notch)
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  - Is stored in `.h5` format\
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  - Uses the HDF5 key `"emg"`
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-
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  Directory structure example:
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  ```text
@@ -97,7 +93,6 @@ import pandas as pd
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  df = pd.read_hdf("data_raw_and_filt/S01/silent/sess_1_batch_1.h5", key="emg")
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  df.head()
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  ```
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  ------------------------------------------------------------------------
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  #### File Content Structure (`data_raw_and_filt`)
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  | Labels | `Label_int`, `Label_str` | Integer and string class labels |
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  | Metadata | `session_id`, `batch_id` | Session and batch identifiers |
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  ### 2️⃣ `wins_and_features`
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  - Non-overlapping windowed segments
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  - Raw and filtered signals
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  - Extracted time-frequency features
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  These files can be directly used for model training or benchmarking.
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  ---
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  # Code and Usage
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  ---
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- #
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  # Contributing
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  We aim to promote standardized evaluation and fair comparison across models.
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  Please refer to the repository README for submission guidelines.
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  ---
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  # Citation
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  If you use this dataset, please cite:
@@ -171,8 +160,6 @@ If you use this dataset, please cite:
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  url = {coming soon}
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  }
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  ```
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  ## 📄 License
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  See the `LICENSE` file for the full license text.
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  - Apache License 2.0 — See the `LICENSE` file for the full license text.
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- - Images are under the the Creative Commons Attribution 4.0 International License - see the `LICENSE.images` file for details.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ![SilentWear Signals](./images/signals.png)
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  ---
 
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  # Dataset Description
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  The dataset includes recordings from:
 
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  https://arxiv.org/placeholder
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  ---
 
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  # Repository Organization
 
 
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  The repository contains two subfolders:
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  ### 1️⃣ `data_raw_and_filt`
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  - Contains filtered EMG signals (4th-order high-pass at 20 Hz + 50 Hz notch)
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  - Is stored in `.h5` format\
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  - Uses the HDF5 key `"emg"`
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+ -
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  Directory structure example:
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  ```text
 
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  df = pd.read_hdf("data_raw_and_filt/S01/silent/sess_1_batch_1.h5", key="emg")
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  df.head()
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  ```
 
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  ------------------------------------------------------------------------
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  #### File Content Structure (`data_raw_and_filt`)
 
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  | Labels | `Label_int`, `Label_str` | Integer and string class labels |
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  | Metadata | `session_id`, `batch_id` | Session and batch identifiers |
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  ### 2️⃣ `wins_and_features`
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  - Non-overlapping windowed segments
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  - Raw and filtered signals
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  - Extracted time-frequency features
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  These files can be directly used for model training or benchmarking.
 
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  ---
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  # Code and Usage
 
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  ---
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  # Contributing
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  We aim to promote standardized evaluation and fair comparison across models.
 
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  Please refer to the repository README for submission guidelines.
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  ---
 
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  # Citation
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  If you use this dataset, please cite:
 
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  url = {coming soon}
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  }
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  ```
 
 
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  ## 📄 License
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  See the `LICENSE` file for the full license text.
 
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  - Apache License 2.0 — See the `LICENSE` file for the full license text.
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+ - Images are under the the Creative Commons Attribution 4.0 International License - see the `LICENSE.images` file for details.
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+ ## 👨‍💻 Contributors
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+ _Silent-Wear_ has been developed at _ETH Zürich_, by the _PULP-Bio_ [Biomedical Circuits, System](https://iis-projects.ee.ethz.ch/index.php?title=Biomedical_Circuits,_Systems,_and_Applications):
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+
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+ - Giusy Spacone [Scholar](https://scholar.google.com/citations?user=dGE8uMEAAAAJ&hl=en) (Conceptualization, Experimental Design, Development)
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+ - Sebastian Frey [Scholar](https://scholar.google.com/citations?user=7jhiqz4AAAAJ&hl=en) (PCB design, Firmware, Documentation)
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+ - Fiona Meier (Hardware Development)
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+ - Giovanni Pollo [Scholar](https://scholar.google.com/citations?hl=it&user=znSV3doAAAAJ&view_op=list_works&sortby=pubdate) (Experimental Desing, Data Collection, Documentation)
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+
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+ - Luca Benini [Scholar](https://scholar.google.com/citations?user=8riq3sYAAAAJ&hl=en)(Supervision, Conceptualization)
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+ - Andrea Cossettini [Scholar](https://scholar.google.com/citations?user=d8O91jIAAAAJ&hl=en)(Supervision, Project administration)
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+ -