Beginner
10 min

Provide data for training machine learning models to recognize specific vibration patterns with FXLS8974CF and PIC32MX470F512H

3-axis accelerometer for motion sensing and vibration analysis

ML Vibro Sens Click with 6LoWPAN clicker

Published Dec 02, 2024

Click board™

ML Vibro Sens Click

Dev. board

6LoWPAN clicker

Compiler

NECTO Studio

MCU

PIC32MX470F512H

Capture precise motion and vibration data for machine learning applications

A

A

Hardware Overview

How does it work?

ML Vibro Sens Click is a machine learning training tool based on the FXLS8974CF, a 3-axis low-g 12-bit digital accelerometer from NXP. Designed for applications requiring precise motion sensing, this Click board™ is an excellent choice for testing and training ML algorithms in both industrial and IoT environments. The FXLS8974CF offers the versatility of ultra-low-power operation alongside high-performance modes, ensuring efficient use in diverse scenarios. Its integrated digital features simplify data collection and reduce system power consumption, while its robust performance over extended temperature ranges enhances reliability in demanding applications, including industrial diagnostics, wearable technology, and environmental monitoring. This Click board™ incorporates two DC motors to simulate vibration stimuli for machine learning: a balanced and an unbalanced motor. The BALANCED motor generates steady "nominal" vibrations, serving as a baseline signal for training ML models in a "healthy" state. On the other hand, the UNBALANCED motor is designed to provide customizable vibration signals, ranging from low-intensity to specific frequency-based vibrations. This motor is powered via the UNB signal, which

supports PWM or PDM inputs, allowing precise modulation of vibration characteristics. Applying a continuous power signal to the unbalanced motor is not recommended due to its intensity, so a low-frequency, low-duty-cycle PWM signal is suggested for controlled vibration stimuli. The BAL signal powers the balanced motor, maintaining a stable vibration environment for baseline training. Both motors are used from the IND-YZ0412J series, known for their high-frequency vibration capabilities. The board features orange LED indicators labeled BALANCED and UNBALANCED to visually indicate motor activity, which lights up when their respective motors are active. The FXLS8974CF accelerometer is essential for ML Vibro Sens Click as it provides precise motion and vibration measurement across three axes (X, Y, Z), forming the foundation for training machine learning algorithms. It captures detailed data from the balanced and unbalanced motors, enabling the differentiation between "healthy" baseline states and anomalous conditions. With its customizable sensitivity, it supports high-performance and low-power modes, ensuring flexibility for various application needs. The FXLS8974CF communicates with the host MCU via a standard 2-

wire I2C interface, supporting clock frequencies up to 1MHz. Its I2C address can be configured through the onboard ADDR SEL jumper, offering flexibility in multi-sensor setups. Additional BT MODE jumper allows users to enable users to select between two distinct operating modes, tailoring the board's functionality. In addition to the interface pins, the board uses the INT pin, whose behavior is determined by the setting of the BT MODE jumper. In Default Mode (position 0), the INT pin acts as a programmable interrupt output, allowing the accelerometer to signal specific events - such as motion detection or threshold breaches - directly to the host MCU. Conversely, in Motion Detection Mode (position 1), the INT pin functions as a multifunction I/O, enabling the host MCU to configure motion detection thresholds or activate custom responses triggered by detected motion. This Click board™ can be operated only with a 3.3V logic voltage level. The board must perform appropriate logic voltage level conversion before using MCUs with different logic levels. Also, it comes equipped with a library containing functions and an example code that can be used as a reference for further development.

ML Vibro Sens Click hardware overview image

Features overview

Development board

6LoWPAN Clicker is a compact starter development board that brings the flexibility of add-on Click boards™ to your favorite microcontroller, making it a perfect starter kit for implementing your ideas. It comes with an onboard 32-bit PIC microcontroller, the PIC32MX470F512H from Microchip, a USB connector, LED indicators, buttons, a mikroProg connector, and a header for interfacing with external electronics. Along with this microcontroller, the board also contains a 2.4GHz ISM band transceiver, allowing you to add wireless communication to your target application. Its compact design provides a fluid and immersive working experience, allowing access anywhere

and under any circumstances. Each part of the 6LoWPAN Clicker development kit contains the components necessary for the most efficient operation of the same board. In addition to the possibility of choosing the 6LoWPAN Clicker programming method, using USB HID mikroBootloader, or through an external mikroProg connector for PIC, dsPIC, or PIC32 programmer, the Clicker board also includes a clean and regulated power supply module for the development kit. The USB Micro-B connection can provide up to 500mA of current for the Clicker board, which is more than enough to operate all onboard and additional modules, or it can power

over two standard AA batteries. All communication methods that mikroBUS™ itself supports are on this board, including the well-established mikroBUS™ socket, reset button, and several buttons and LED indicators. 6LoWPAN Clicker is an integral part of the Mikroe ecosystem, allowing you to create a new application in minutes. Natively supported by Mikroe software tools, it covers many aspects of prototyping thanks to a considerable number of different Click boards™ (over a thousand boards), the number of which is growing every day.

6LoWPAN clicker double side image

Microcontroller Overview

MCU Card / MCU

default

Architecture

PIC32

MCU Memory (KB)

512

Silicon Vendor

Microchip

Pin count

64

RAM (Bytes)

131072

Used MCU Pins

mikroBUS™ mapper

NC
NC
AN
ID SEL
RD6
RST
Balanced Motor Control / ID COMM
RE5
CS
NC
NC
SCK
NC
NC
MISO
NC
NC
MOSI
Power Supply
3.3V
3.3V
Ground
GND
GND
Unbalanced Motor Control
RB8
PWM
Interrupt
RD0
INT
NC
NC
TX
NC
NC
RX
I2C Clock
RD10
SCL
I2C Data
RD9
SDA
NC
NC
5V
Ground
GND
GND
1

Take a closer look

Click board™ Schematic

ML Vibro Sens Click Schematic schematic

Step by step

Project assembly

PIC32MZ clicker front image hardware assembly

Start by selecting your development board and Click board™. Begin with the 6LoWPAN clicker as your development board.

PIC32MZ clicker front image hardware assembly
GNSS2 Click front image hardware assembly
Prog-cut hardware assembly
Board mapper by product7 hardware assembly
Necto image step 2 hardware assembly
Necto image step 3 hardware assembly
Necto image step 4 hardware assembly
Necto image step 5 hardware assembly
Necto image step 6 hardware assembly
Flip&Click PIC32MZ MCU step hardware assembly
Necto No Display image step 8 hardware assembly
Necto image step 9 hardware assembly
Necto image step 10 hardware assembly
Debug Image Necto Step hardware assembly

Track your results in real time

Application Output

1. Application Output - In Debug mode, the 'Application Output' window enables real-time data monitoring, offering direct insight into execution results. Ensure proper data display by configuring the environment correctly using the provided tutorial.

2. UART Terminal - Use the UART Terminal to monitor data transmission via a USB to UART converter, allowing direct communication between the Click board™ and your development system. Configure the baud rate and other serial settings according to your project's requirements to ensure proper functionality. For step-by-step setup instructions, refer to the provided tutorial.

3. Plot Output - The Plot feature offers a powerful way to visualize real-time sensor data, enabling trend analysis, debugging, and comparison of multiple data points. To set it up correctly, follow the provided tutorial, which includes a step-by-step example of using the Plot feature to display Click board™ readings. To use the Plot feature in your code, use the function: plot(*insert_graph_name*, variable_name);. This is a general format, and it is up to the user to replace 'insert_graph_name' with the actual graph name and 'variable_name' with the parameter to be displayed.

Software Support

Library Description

This library contains API for ML Vibro Sens Click driver.

Key functions:

  • mlvibrosens_get_int_pin - This function returns the interrupt pin logic state.

  • mlvibrosens_get_data - This function reads accel X, Y, and Z axis data in g and temperature in degrees Celsius.

  • mlvibrosens_set_vibro_state - This function sets the vibro motors state.

Open Source

Code example

The complete application code and a ready-to-use project are available through the NECTO Studio Package Manager for direct installation in the NECTO Studio. The application code can also be found on the MIKROE GitHub account.

/*!
 * @file main.c
 * @brief ML Vibro Sens Click example
 *
 * # Description
 * This example demonstrates the use of the ML Vibro Sens Click board by capturing and logging
 * acceleration data on the X, Y, and Z axes, along with temperature readings. The data is output 
 * over USB UART and can be visualized in real-time using tools like SerialPlot. Additionally, 
 * the vibro motor state changes periodically, cycling through different vibration states for 
 * added feedback.
 *
 * The demo application is composed of two sections :
 *
 * ## Application Init
 * Initializes the communication interface and configures the ML Vibro Sens Click board 
 * with default settings. This setup enables an interrupt on the INT pin when data is ready,
 * sets the acceleration sensitivity to a +/-4G range, and sets the output data rate to 100 Hz.
 *
 * ## Application Task
 * Monitors the data-ready interrupt, retrieves acceleration and temperature data when available,
 * and logs it over USB UART in the format X;Y;Z;TEMP. After every 1000 data readings, the 
 * vibro motor state cycles through predefined states to demonstrate the motor's functionality.
 *
 * @note
 * We recommend using the SerialPlot tool for data visualization. The temperature measurements
 * should be visualized independently. The data format for plotter is as follows: X;Y;Z;TEMP;
 *
 * @author Stefan Filipovic
 *
 */

#include "board.h"
#include "log.h"
#include "mlvibrosens.h"

static mlvibrosens_t mlvibrosens;
static log_t logger;

void application_init ( void )
{
    log_cfg_t log_cfg;  /**< Logger config object. */
    mlvibrosens_cfg_t mlvibrosens_cfg;  /**< Click config object. */

    /** 
     * Logger initialization.
     * Default baud rate: 115200
     * Default log level: LOG_LEVEL_DEBUG
     * @note If USB_UART_RX and USB_UART_TX 
     * are defined as HAL_PIN_NC, you will 
     * need to define them manually for log to work. 
     * See @b LOG_MAP_USB_UART macro definition for detailed explanation.
     */
    LOG_MAP_USB_UART( log_cfg );
    log_init( &logger, &log_cfg );
    log_info( &logger, " Application Init " );

    // Click initialization.
    mlvibrosens_cfg_setup( &mlvibrosens_cfg );
    MLVIBROSENS_MAP_MIKROBUS( mlvibrosens_cfg, MIKROBUS_1 );
    if ( I2C_MASTER_ERROR == mlvibrosens_init( &mlvibrosens, &mlvibrosens_cfg ) )
    {
        log_error( &logger, " Communication init." );
        for ( ; ; );
    }
    
    if ( MLVIBROSENS_ERROR == mlvibrosens_default_cfg ( &mlvibrosens ) )
    {
        log_error( &logger, " Default configuration." );
        for ( ; ; );
    }
    
    log_info( &logger, " Application Task " );
}

void application_task ( void )
{
    static uint8_t vibro_state = MLVIBROSENS_VIBRO_STATE_IDLE;
    static uint16_t result_num = 0;
    static mlvibrosens_data_t accel_data;
    
    // Wait for a data ready interrupt
    while ( mlvibrosens_get_int_pin ( &mlvibrosens ) );

    if ( MLVIBROSENS_OK == mlvibrosens_get_data ( &mlvibrosens, &accel_data ) )
    {
        log_printf ( &logger, "%f;%f;%f;%d;\r\n", accel_data.x, accel_data.y, 
                                                  accel_data.z, accel_data.temperature ); 
    }
    if ( ++result_num > 1000 )
    {
        result_num = 0;
        if ( ++vibro_state > MLVIBROSENS_VIBRO_STATE_BOTH )
        {
            vibro_state = MLVIBROSENS_VIBRO_STATE_IDLE;
        }
        mlvibrosens_set_vibro_state ( &mlvibrosens, vibro_state );
    }
}

int main ( void ) 
{
    /* Do not remove this line or clock might not be set correctly. */
    #ifdef PREINIT_SUPPORTED
    preinit();
    #endif
    
    application_init( );
    
    for ( ; ; ) 
    {
        application_task( );
    }

    return 0;
}

// ------------------------------------------------------------------------ END

Additional Support

Resources

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