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tools.qmd
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tools.qmd
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---
filters:
- add-code-files
code-fold: false
---
# Tools {.unnumbered}
## Software tools
The software tools employed in this thesis are the following:
- Android SDK 33: development of _Background Sensors_, _WearOS Sensors_ (see @sec-collection_tools) and _TUG Test Smartwatch APP_ (see [HAR in mHealth: TUG test using smartphones and smartwatches](04_tug.qmd)).
- Node v16.13, JDK 11 and NativeScript CLI v8.2.3: development of _NativeScrit WearOS Sensors_, AwarNS _Phone Sensors_ and _Wear OS_ (see @sec-collection_tools), _TUG Test Smartphone APP_ (see [HAR in mHealth: TUG test using smartphones and smartwatches](04_tug.qmd)).
- Espressif IoT Development Framework v5.1: development of CSI data collection tools employed in [Looking into the future: Wi-Fi CSI based HAR](05_wifi-csi.qmd).
- Python 3.9.15: tasks related to ML, DL and data analysis. The following Python modules have been employed for such tasks:
::: {add-from=requirements.txt filename='requirements.txt'}
```{.python}
```
:::
## Hardware tools
Following, the harware devices used during the development of this thesis are listed.
- **Smart devices**:
- TicWatch Pro 3 GPS (WH12018): IMU data collection for @sec-dataset and system evaluation in [HAR in mHealth: TUG test using smartphones and smartwatches](04_tug.qmd).
- Xiaomi Poco X3 Pro (M2102J20SG): IMU data collection for @sec-dataset and system evaluation in [HAR in mHealth: TUG test using smartphones and smartwatches](04_tug.qmd).
- Xiaomi Poco F2 Pro (M2004J11G): video recordings for @sec-dataset and @sec-localized_har, and system evaluation in [HAR in mHealth: TUG test using smartphones and smartwatches](04_tug.qmd).
- **Microcontrollers**:
- ESP32-S2 WROOM: CSI data collection for @sec-localized_har.
- ESP32-S3 WROOM: CSI data collection for @sec-csi_stability.
- **Computers**:
- Windows 10 PC with i7-8700 CPU, NVIDIA GeForce GTX 750 GPU and 16 GB RAM: ML and DL models.
- MacBook Air M1 16GB RAM: development and analysis tasks.
- **Other**:
- TP-Link Archer C80 Router: CSI data collection for @sec-localized_har and @sec-csi_stability.