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inertial-sensor-processing

Processing of inertial sensor data for intake gesture detection.

Features

Implemented processing steps include mirroring, gravity removal, smoothing, and standardization. Export as csv or tfrecord files. Specific labels can be selected by including a specification file.

Supported datasets currently include:

Usage

Make sure that all requirements are fulfilled

$ pip install -r requirements.txt

Then call main.py.

$ python main.py --src_dir=OREBA-DIS

The following flags can be used to specify the settings:

Argument Description Default
--src_dir Recordings directory OREBA_Dataset_Public_1_0/oreba_dis/recordings
--exp_dir Directory for data export Export
--dataset Which dataset is used {OREBA-DIS, OREBA-SHA, Clemson, or FIC} OREBA-DIS
--sampling_rate Sampling rate of exported signals in Hz 64
--use_vis If True, enable visualization False
--use_gravity_removal If True, remove gravity during preprocessing True
--use_smoothing If True, apply smoothing during preprocessing False
--use_standardization If True, apply standardization during preprocessing True
--smoothing_window_size Size of the smoothing window [number of frames] 1
--smoothing_order The polynomial used in Savgol filter 1
--smoothing_mode Smoothing mode {medfilt, savgol_filter, moving_average} moving_average
--exp_mode Write file for publication or development {pub, dev} dev
--exp_uniform Convert all dominant hands to right and all non-dominant hands to left True
--exp_format Format for export {csv, tfrecord} csv
--label_spec Filename of label specification label_spec/OREBA_only_intake.xml
--label_spec_inherit Inherit label specification for sublabels (if label not included, always keep sublabels as Idle) True
--dom_hand_spec Filename containing the dominant hand info dominant_hand.csv
--organise_data If True, organise data in train, valid, test subfolders False
--organise_dir Directory to copy train, val and test sets using data organiser Organised
--organise_subfolders Create sub folder per each file in validation and test set False

Label specfication

Control what labels are included by selecting or editing the appropriate label_spec file. This only applies to the OREBA and Clemson datasets. Templates are available in the label_spec directory.

About

Import and processing of inertial sensor data for intake gesture recognition. Support for Clemson Cafeteria, Food Intake Cycle, and OREBA datasets.

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