HIL Toolkit: Acquisition, estimation and optimization of human in the loop experiments

Toolkit for human in the loop optimization

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If you find any bugs, please report them in the discussion section or create an issue.

Table of contents

• HIL Toolkit: Acquisition, estimation and optimization of human in the loop experiments
  • Table of contents
  • Requirements for the toolkit
    • General requirements
    • Metabolic cost.
    • ECG
    • Foot pressure.
  • Installation
  • Device setups
    • ECG device setup
  • Estimation
  • Metabolic cost estimation.
    • Estimation in scripts for offline.
    • Estimation in notebooks.
  • Raspberry Pi Instructions
  • Acknowledgement

Requirements for the toolkit

General requirements

• Python 3.10 or higher.
• Labstreaminglayer - install here.
• pylsl - install by running pip install pylsl.

Metabolic cost.

• Cosmed or other metabolic cart device.
• Setup metabolic cost acquisition code.

ECG

• Polar H10
• Bluetooth capible laptop for ECG.

Foot pressure.

• Pressure SDK.

Installation

Complete python HIL toolkit install using pip in main directory.

pip install -e .

Device setups

ECG device setup

For setting up the new polar H10 ( ECG sensor )

• Please turn on the computer bluetooth connection.
• Run the following script to find all the available POLAR sensor scripts python scripts/search_polar.py. This script will search for polar sensors in the bluetooth range and save the BLE information in the config/polar.yml file. And return success or failure.
• Run the script to collect data from the polar and send it. python scripts/collect_polar.py

Estimation

Warning The estimation is not fully tested. Please use with caution.

Metabolic cost estimation.

Please refer the following paper for the details of the estimation.

Reference

Kantharaju, Prakyath, and Myunghee Kim. "Phase-Plane Based Model-Free Estimation of Steady-State Metabolic Cost." IEEE Access 10 (2022): 97642-97650.

Estimation in scripts for offline.

• Run the following script to estimate the metabolic cost. python scripts/estimate_metabolic_cost.py
• This script will estimate the estimate the metabolic cost data in the provided in the data/met_data.npy.
• The scrip will generate the estimation and the also video as shown in the following figure.
• It will also make a video of the estimation and the actual data. The video will be saved in the scripts/Results/videos/ folder.

Estimation in notebooks.

• Run the following notebook . notebooks/preprocessing_cosmed.ipynb to convert the raw data to the metabolic cost data.
• To perform the estimation run the following notebook. notebooks/estimation_cosmed.ipynb

Raspberry Pi Instructions

Please follow instrucction in the Instructions_rpi.md file.

Acknowledgement

This is a Fork of the repository Prakyathkantharaju/HIL_toolkit. Please visit there for updated version.