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Gait paper
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Gait analysis" | ||
] | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Gait analysis" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Automatically reload modules\n", | ||
"%load_ext autoreload\n", | ||
"%autoreload 2\n", | ||
"\n", | ||
"import os\n", | ||
"from paradigma.preprocessing_config import IMUPreprocessingConfig\n", | ||
"from paradigma.gait.gait_analysis import extract_gait_features_io, detect_gait_io, extract_arm_swing_features_io, detect_arm_swing_io, quantify_arm_swing_io\n", | ||
"from paradigma.gait.gait_analysis_config import GaitFeatureExtractionConfig, GaitDetectionConfig, ArmSwingFeatureExtractionConfig, ArmSwingDetectionConfig, ArmSwingQuantificationConfig\n", | ||
"from paradigma.imu_preprocessing import preprocess_imu_data_io" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 13, | ||
"metadata": { | ||
"tags": [ | ||
"parameters" | ||
] | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"branch = 'gait'\n", | ||
"sensor = 'imu'\n", | ||
"\n", | ||
"path_to_data = '../../../tests/data'\n", | ||
"path_to_classifier = os.path.join(path_to_data, '0.classifiers', branch)\n", | ||
"path_to_sensor_data = os.path.join(path_to_data, '1.sensor_data', sensor)\n", | ||
"path_to_preprocessed_data = os.path.join(path_to_data, '2.preprocessed_data', sensor)\n", | ||
"path_to_extracted_features = os.path.join(path_to_data, '3.extracted_features', branch)\n", | ||
"path_to_predictions = os.path.join(path_to_data, '4.predictions', branch)\n", | ||
"path_to_quantification = os.path.join(path_to_data, '5.quantification', branch)\n", | ||
"\n", | ||
"# Cell has the tag 'parameters', so it won't overwrite the parameters when running the notebook in tests" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Preprocessing" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 14, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = IMUPreprocessingConfig()\n", | ||
"preprocess_imu_data_io(path_to_sensor_data, path_to_preprocessed_data, config)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Extract gait features" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 15, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = GaitFeatureExtractionConfig()\n", | ||
"extract_gait_features_io(path_to_preprocessed_data, path_to_extracted_features, config)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Detect gait" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 16, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = GaitDetectionConfig()\n", | ||
"detect_gait_io(path_to_extracted_features, path_to_predictions, path_to_classifier, config)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Extract arm swing features" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 17, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = ArmSwingFeatureExtractionConfig()\n", | ||
"extract_arm_swing_features_io(path_to_preprocessed_data, path_to_extracted_features, config)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Detect arm swing" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 18, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = ArmSwingDetectionConfig()\n", | ||
"detect_arm_swing_io(path_to_extracted_features, path_to_predictions, path_to_classifier, config)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Quantify arm swing" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 19, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = ArmSwingQuantificationConfig()\n", | ||
"quantify_arm_swing_io(path_to_extracted_features, path_to_predictions, path_to_quantification, config)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "paradigma-Fn6RLG4_-py3.11", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.11.5" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Automatically reload modules\n", | ||
"%load_ext autoreload\n", | ||
"%autoreload 2\n", | ||
"\n", | ||
"import os\n", | ||
"from paradigma.preprocessing_config import IMUPreprocessingConfig\n", | ||
"from paradigma.gait.gait_analysis import extract_gait_features_io, detect_gait_io, extract_arm_swing_features_io, detect_arm_swing_io, quantify_arm_swing_io\n", | ||
"from paradigma.gait.gait_analysis_config import GaitFeatureExtractionConfig, GaitDetectionConfig, ArmSwingFeatureExtractionConfig, ArmSwingDetectionConfig, ArmSwingQuantificationConfig\n", | ||
"from paradigma.imu_preprocessing import preprocess_imu_data_io" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 5, | ||
"metadata": { | ||
"tags": [ | ||
"parameters" | ||
] | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"path_to_data = '../../../tests/data'\n", | ||
"path_to_classifier = os.path.join(path_to_data, '0.classifiers', 'gait')\n", | ||
"path_to_sensor_data = os.path.join(path_to_data, '1.sensor_data', 'imu')\n", | ||
"path_to_preprocessed_data = os.path.join(path_to_data, '2.preprocessed_data', 'gait')\n", | ||
"path_to_extracted_features = os.path.join(path_to_data, '3.extracted_features', 'gait')\n", | ||
"path_to_predictions = os.path.join(path_to_data, '4.predictions', 'gait')\n", | ||
"path_to_quantification = os.path.join(path_to_data, '5.quantification', 'gait')\n", | ||
"\n", | ||
"# Cell has the tag 'parameters', so it won't overwrite the parameters when running the notebook in tests" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Preprocessing" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 6, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = IMUPreprocessingConfig()\n", | ||
"preprocess_imu_data_io(path_to_sensor_data, path_to_preprocessed_data, config)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Extract gait features" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 8, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = GaitFeatureExtractionConfig()\n", | ||
"#config.set_sampling_frequency(50)\n", | ||
"extract_gait_features_io(path_to_preprocessed_data, path_to_extracted_features, config)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Detect gait" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 11, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = GaitDetectionConfig()\n", | ||
"detect_gait_io(path_to_extracted_features, path_to_predictions, path_to_classifier, config)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Extract arm swing features" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 13, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = ArmSwingFeatureExtractionConfig()\n", | ||
"extract_arm_swing_features_io(path_to_preprocessed_data, path_to_extracted_features, config)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Detect arm swing" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 14, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = ArmSwingDetectionConfig()\n", | ||
"detect_arm_swing_io(path_to_extracted_features, path_to_predictions, path_to_classifier, config)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Quantify arm swing" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 16, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"config = ArmSwingQuantificationConfig()\n", | ||
"quantify_arm_swing_io(path_to_extracted_features, path_to_predictions, path_to_quantification, config)" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "paradigma-8ps1bg0Z-py3.12", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.12.6" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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