This project simulates a pedometer system using two methods:

1. Analog circuit simulation with LTSpice
2. Signal processing and analysis using MATLAB

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.

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.

• 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.

• MATLAB
• LTSpice (for analog simulation)