Adaptive Oscillator
AOs can be described as a mathematical tool able to synchronize with a rhythmic and periodic signal by continuously estimating its fundamental features (i.e. frequency, amplitude, phase, and offset). For their properties, AOs found applications in gait pattern estimation strategies, where they are used to mimic the dynamics of the neuromechanical oscillators in charge of the rhythmical human locomotion. In addition, as gait periodicity can be captured by sensors recording joint kinematics, their application does not require a complex sensory network.
Install
To install the library run: pip install adaptive-oscillator
Development
- Install Poetry
make initto create the virtual environment and install dependenciesmake formatto format the code and check for errorsmake testto run the test suitemake cleanto delete the temporary files and directoriespoetry publish --buildto build and publish to https://pypi.org/project/adaptive-oscillator
Usage
"""Basic usage for the adaptive oscillator."""
def main() -> None:
"""Run a simple demonstration."""
# Initialize system
controller = AOController(show_plots=True)
while True:
t, x_axis_angle, x_axis_vel = read_from_sensor()
th = np.deg2rad(x_axis_angle)
dth = np.deg2rad(x_axis_vel)
controller.step(t=t, x=th, x_dot=dth)
controller.plot_results()
if __name__ == "__main__":
main()
Results
The plot below shows the results being plotted in real time.
Repo Structure
The files and folders below are used for development purposes. This repo tree can be updated with make tree.
├── docs
│ ├── adaptive oscillators.pdf
│ └── results.png
├── src
│ └── adaptive_oscillator
│ ├── log_files
│ │ ├── __init__.py
│ │ ├── main.py
│ │ └── parser.py
│ ├── utils
│ │ ├── __init__.py
│ │ ├── log_utils.py
│ │ ├── plot_utils.py
│ │ └── time_utils.py
│ ├── __init__.py
│ ├── __main__.py
│ ├── base_classes.py
│ ├── controller.py
│ ├── definitions.py
│ └── oscillator.py
├── tests
│ ├── __init__.py
│ ├── adaptive_oscillator_test.py
│ ├── base_classes_test.py
│ ├── conftest.py
│ ├── controller_test.py
│ ├── parser_utils_test.py
│ ├── plot_utils_test.py
│ ├── time_utils_test.py
│ └── utils_for_test.py
├── .gitignore
├── .pre-commit-config.yaml
├── CONTRIBUTING.md
├── LICENSE
├── Makefile
├── README.md
├── poetry.lock
├── pyproject.toml
└── repo_tree.py
Metadata
Release files for adaptive-oscillator 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| adaptive_oscillator-0.2.1.tar.gz | 19.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| adaptive_oscillator-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 41.8 kB
Release files / adaptive_oscillator-0.2.1.tar.gz
| Download URL | adaptive_oscillator-0.2.1.tar.gz |
|---|---|
| Size | 19.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f4503e171ce74bcd45d513191425d2404a72eb05bfeccc8ba8c9947f94981ad5
|
|
BLAKE2b-256 checksum How to use checksums |
cd92426ae138ce7d3c31c00e9613d34de389399b929f3d207d7caa98a4738e0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.2.1 CPython/3.14.2 Darwin/25.2.0
|
Release files / adaptive_oscillator-0.2.1-py3-none-any.whl
| Download URL | adaptive_oscillator-0.2.1-py3-none-any.whl |
|---|---|
| Size | 22.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4c5f13ce4eebb670c5ed17da8c1ea4ab2fca5d8821214ea483a1e1e79a01f2d0
|
|
BLAKE2b-256 checksum How to use checksums |
1d779b8a61fa0227deb3076b996f3c3f551e94b925e721eb1fe0255367972a08
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.2.1 CPython/3.14.2 Darwin/25.2.0
|