https://github.com/zazi2002/pedometer-project

Sensory & Measurment project, simulating pedometer by designing analog circuit in LTSpice and processing its signal in MATLAB.
https://github.com/zazi2002/pedometer-project

analog-circuit ltspice matlab pedometer sensor-measurement

Last synced: 6 days ago
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Sensory & Measurment project, simulating pedometer by designing analog circuit in LTSpice and processing its signal in MATLAB.

• Host: GitHub
• URL: https://github.com/zazi2002/pedometer-project
• Owner: ZaZi2002
• Created: 2024-09-07T10:40:17.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-07T17:36:39.000Z (4 months ago)
• Last Synced: 2024-11-07T13:18:43.548Z (about 2 months ago)
• Topics: analog-circuit, ltspice, matlab, pedometer, sensor-measurement
• Language: MATLAB
• Homepage:
• Size: 4.63 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Pedometer Project

## Overview

This project simulates a pedometer system using two methods:

1. Analog circuit simulation with LTSpice

2. Signal processing and analysis using MATLAB

## LTSpice Simulation

![Pedometer full circuit](https://github.com/user-attachments/assets/2d1206a0-a9df-4628-8680-411362b8c149)

The LTSpice simulation includes the following components:

- **Input Signal**: Represents the accelerometer data.

- **Pre-Amplifier**: Amplifies the input signal.

- **Low Pass Filter**: Removes high-frequency noise.

- **High Pass Filter**: Removes low-frequency noise.

- **Comparator**: Converts the filtered signal into a digital signal.

- **Binary Counter**: Counts the number of steps based on the digital signal.

## MATLAB Code

![Filtered signals 1](https://github.com/user-attachments/assets/a8c62ed6-3427-4cbc-9d97-d1107f06abd6)

The MATLAB code processes accelerometer data to simulate a pedometer. The key steps include:

1. **Loading Data**: Loads the recorded accelerometer data.

2. **Generating Noisy Signals**: Adds white noise to the X, Y, and Z axis data.

3. **Filtering Signals**: Applies a bandpass filter to the noisy signals.

4. **Generating Accelerometer Signal**: Combines the X, Y, and Z axis signals to generate a single accelerometer signal.

5. **Generating Pulse Wave**: Creates a pulse signal based on a predefined threshold.

6. **Counting Steps**: Counts the number of steps detected from the pulse signal.

## Results

- **Noisy Signal Plots**: Visual representation of the noisy signals for X, Y, and Z axes.

- **Filtered Signal Plots**: Visual representation of the filtered signals for X, Y, and Z axes.

- **Combined Signal Plot**: Shows the combined accelerometer signal.

- **Fourier Transform Plot**: Provides frequency domain analysis of the combined signal.

- **Pulse Signal Plot**: Displays the generated pulse signal indicating detected steps.

- **Steps Count**: Shows the total number of steps detected.

## Requirements

- MATLAB

- LTSpice (for analog simulation)