Pedometer Library

This repository provides algorithms and data structures for a pedometer based on ADXL345 by Analog Devices, Inc.. It utilizes accelerometer data and angle information to compute step counts and body movements during walking.

Data Definition

THREE_AXIS_INFO Structure

• x: Angle information for forward and backward body swing
• y: Angle information for left and right body swing
• z: Angle information for spinning motion during walking

createdata

Generates simulated accelerometer data and converts it into angle information.

Filtering

Filters out noisy data by applying a mean filter to the raw data, reducing unnecessary fluctuations.

findprimaryaxis

Determines the primary swing axis by calculating the variance of angle data across the three dimensions.

Algorithms

threshold_algorithm

Calculates thresholds to classify data into high and low-level movements.

step_algorithm

Computes the number of steps taken based on thresholds and swing periods.

Main

logic Function

Contains the sequential invocation of all algorithms in the library, generating and analyzing simulated angle data.

Usage

1. Import the Walking Analytics Library into your project.
2. Use the logic function with accelerometer data to retrieve step counts and swing patterns.

Dependencies

• No external dependencies required.

Run

To compile the program, use the following command:

gcc main.c -o pedometer -lm
./pedometer