MEMS (sensors)

  int main( void ) { /* STM32 HAL library initialization*/ HAL_Init( ); /* Configure the system clock*/ SystemClock_Config( ); /* Configure the debug mode*/ DBG_Init( ); PRINTF("\n----------------------Firmare starts here---------------------\n"); /* Configure the hardware*/ HW_Init( ); MX_GPIO_Init(); MX_I2C1_Init(); //MX_RTC_Init(); GNSS_Init(); /* SPI initialization function*/ SPI_Init(); /* Initialize mems driver interface */ dev_ctx.write_reg = IIS3DWB_write; dev_ctx.read_reg = IIS3DWB_read; dev_ctx.mdelay = IIS3DWB_delay; dev_ctx.handle = &hspi2; IIS3DWB_delay(BOOT_TIME); iis3dwb_

Back in 2015, I ordered 19 LSM9DS0 boards from Adafruit for a project (which is taking longer than anticipated!).I've recently noticed that the Accel X, Y and Z readings are materially different for some boards when the boards are flat in a common position. Some read X : close to zero, Y: close to zero, Z: close to 9.5, whereas others are all over the place (such as X: -1.4, Y: -0.3, Z: 7.00. or X: 3.36, Y: 7.00, Z: 4.32). It seems as though the orientation of the board no longer aligns with the orientation of the output of the accelerometer.I have a few questions:- What's the design life of an LSM9DS0?- Should I expect some failures of the accelerometer after 9 years?- For the boards that are giving strange readings, is there a way to reset the accelerometer in any way, or to compensate the readings with offsets (and is this level of offset usual?) 

Hello,I'd like to use LSM303AGR temperature sensor and only that, what is the minimal configuration to be able to do that? As I browsed the forum I saw that setting TEMP_EN[1:0] bits to 1 in the TEMP_CFG_REG_A and BDU bit in CTRL_REG4_A is not enough, you also have to set XL ODR in CTRL_REG1_A. Is there anything else needed?

Is it possible to check the electrical activity of an AC power cable using Qvar functionality. What type of electrode to be used? What type of input circuitry needs to be designed (input impedance and filtering)?   

I have four sensor tile STWINKT1B kits. I want to simultaneously capture accelerometer, temperature, and acoustic data from all the kits and set up an integrated dashboard. Further, I also want to extend this project by creating an IOT Hub using either IBM Watson or Microsoft Azure. Can someone help me with the same? I'm a bit new to this domain.

I guess this is a weird question. I am not really interested in the classifying part of the MLC but I am interested in its feature selection capability, I would like to know if it is possible to perform feature extraction calculation on the data stored in FIFO and somehow get access to those calculated feature values,With Unico I know all those values are stored in the .arff file, but I am wondering are there functions that I can call to do feature calculations on data that is already in FIFO and then store the values in a buffer?Cheers,WIlliam

I am using NUCLEO_F401RE + X-NUCLEO-IKS4A1 with MEMS Studio software. X-NUCLEO-IKS4A1 offers multiple various bus configurations, including the sensor hub mode for LSM6DSO16IS.However, only in standard I2C mode can we establish the connection in MEMS Studio. If using the sensor hub mode, there will be WH

Hi,I am currently using a STM32L476 with a LIS2MDL, I need to apply a calibration along only 1 axis for the magnetometer, as the system can not be rotated along the others axis.I was wondering if there is ready made solution/library to do it?Thank you in advance for the help or any ints  

Hello,I have an issue related to LIS2DW12 wake up interrupt. When reading the wake interrupt src it is showing that wake up interrupt is being triggered I am getting value in loop from software interrupt. But after enabling interrupt on INT1 pin I am not getting interrupt over INT1 pin. It's being kept at 0.00 volts. Below is my code snippet (controller I am using is NRF52832):uint32_t app_mpu_init(void) //LIS2DW12 INIT LOGIC{    uint32_t err_code;    uint8_t data;    // Initate TWI or SPI driver dependent on what is defined from the project    err_code = nrf_drv_mpu_init();    if(err_code != NRF_SUCCESS) return err_code;       data = readRegister(LIS2DW12_WHO_AM_I);    NRF_LOG_INFO("0X%02X ", data); //Getting 0x44 which is correct     err_code = nrf_drv_

Hi,I am trying to read data in continuous mode from the LIS2MDL on a personal board with the help of the exemple(https://github.com/STMicroelectronics/STMems_Standard_C_drivers/tree/master/lis2mdl_STdC/examples) and driver (https://github.com/STMicroelectronics/lis2mdl-pid/tree/56a8a1ddb1bd21d98151372b5fa4f48ffa9e1a39).I am able to retrieve the ID of the chip and configure it in continous mod.But the problem is that the data ready register always return 0x00.

+I'm a beginner. I used the STM32 CubeIDE to compile and used the SPI of the Nucleo-F446RE to connect to the LSM9DS1. I want to read the data of its accelerometer, gyroscope and magnetometer, and use the field expression function to observe it. I found that the value read by it will keep beating without moving the LSM9DS1 and my magnetometer will not respond. I don't know what I did wrong.The following is what I wrote myself about the function library and main program used by LSM9DS1.[SPI_IMU_LSM9DS1.h] #include "stm32f446xx.h" #include "stm32f4xx_hal.h" #include "stdint.h" #include "stdio.h" #include "stdlib.h" #ifndef INC_SPI_IMU_LSM9DS1_H_ #define INC_SPI_IMU_LSM9DS1_H_ #define CS_AG_PORT GPIOA #define CS_AG_PIN GPIO_PIN_0 #define CS_M_PORT GPIOA #define CS_M_PIN GPIO_PIN_1 #define DEN_AG_PIN GPIO_PIN_2 // Magnetometer Register address (CS_M low level) #define WHO_AM_I_M 0x0F // Respons

How many data points are necessary to build a reliable machine learning model (with mlc)? Is there a point where adding more data no longer significantly improves the model's performance?

I have to work on a project that includes an accelerometer, gyroscope, and magnetometer. For the first two, I would like to use the LSM6DSV16X sensor, but I haven't yet chosen a magnetometer.1) Do you have any recommendations for one that would work well with the LSM6DSV16X?2) Is it possible to synchronize the sampling between the LSM6DSV16X and the magnetometer?

We are conducting research using 9 IIS2MDC sensors to detect the position of a magnetic material (e.g., N52 grade neodymium magnet). Since we expect the distance between the magnetic material and the sensors to be large, the sensors need to accurately detect the magnitude and direction of the magnetic field generated by the material. However, we have identified that the IIS2MDC sensors we are using have an error margin of approximately ±1300 mG, and we are encountering the following issues: 1. The offset indicated in the datasheet is approximately ±60 mG. However, even after completely removing the influence of the magnetic material, the initial magnetic field values measured by each sensor still range from 0 to 1000 mG. Since these initial values vary between sensors, we predict that this is not due to the Earth's magnetic field. We are curious about the possible cause of this.

Hello,I think there is two errors in the st_lsm6dsvx driver in the odr_calib calculation algo : odr_calib = (data * 37500) / 1000 :data should be casted in s8 like in other driversthe formula seems wrong according to the datasheet :Formula seems to use bad coefficientsttrim[s] = 1 / (40000 * (1 + 0.0015 * val))ttrim[ns] ~= 25000 - 37.5 * valttrim[ns] ~= 25000 - (37500 * val) / 1000But datasheet saysttrim[s] = 1 / (46080 * (1 + 0.0013 * val))ttrim[ns] ~= 21701 - 28.212 * valttrim[ns] ~= 21701 - (28212 * val) / 1000Am I wrong ?

I am working on a motion sensing device currently in production using a LIS2DH12 accelerometer and want to apply machine learning to the product. This is an older part with no machine learning core (MLC) onboard so can only provide motion data to the host processor (nrf52840) where a model might reside for inferencing motion classes.I am new to MEMS Studio so still learning about its capabilities but have looked at Edge Impulse to create models for execution on host and looks very usable. I use IAR for the IDE and it can generate linkable models within IAR projects - very convenient.My question is can I use MEMS Studio to create a model and run on the host instead of the sensor itself?- Edwin

I work for a company that has used this IMU for some of the new designs (we have currently assembled and tested +1000 units with ASM330LHH) and we have noticed that some of the units (around 10 %), are presenting a strange behaviour when subjecting them to temperature cycles, the effect has only been noticed in X and Y axes, never in Z. Here is a plot of the behaviour:

I'm doing a 4D orientation detection FSM on the ISM330BX. There is no example for this IMU so I'm following the examples for some of the other IMUs. That is fine and the code works, but what I can't work out is how to calculate the THRESH1 value and get it to agree with the value displayed in MEMS-Studio.As shown in the attached screenshot, 0x3A66 (14950 in decimal) is shown as 0.8 g in MEMS-Studio for the ISM330BX, but if I work it out:Value in g = 14950 x 0.000061 g/LSB = 0.913 gAny ideas on what I am misunderstanding?It doesn't really matter from a FSM perspective whether THRESH1 = 0.8 or 0.91 g but still...

Posted on May 08, 2013 at 17:40 Hi, I'm trying to configure the accelerometer on my stm32f4 discovery board. I lost with all the configuration of LIS302DL and TIM4 (example code) and do I need to configure SPI1 separately??? I simply want to read the Z axe measurements for tilt calculation. with this configuration: 1. /* Set configuration of LIS302DL*/ 2. LIS302DL_InitStruct.Power_Mode = LIS302DL_LOWPOWERMODE_ACTIVE; 3. LIS302DL_InitStruct.Output_DataRate = LIS302DL_DATARATE_100; 4. LIS302DL_InitStruct.Axes_Enable = LIS302DL_Z_ENABLE; 5. LIS302DL_InitStruct.Full_Scale = LIS302DL_FULLSCALE_2_3; 6. LIS302DL_InitStruct.Self_Test = LIS302DL_SELFTEST_NORMAL; 7. LIS302DL_Init(&LIS302DL_InitStruct); How I configure it? #accelerometer #lis302dl

Hi Sir, What internal adjustments have been made to cause the noise density to differ between the high-performance, normal, and low power modes of the ISM330DHCX? Filter? Gain?Thank you.

Hello,in KDE/plasma environment I can't use MEMS-studio because it doesn't show file dialogs.For example: MEMS-studio is connected to the STEVAL-MKI109V3 board, in "Advanced Features" -> "FSM" I click the "Load state machine from file“ button, but nothing happens, the file dialog does not appear.Is there any solution to allow MEMS-studio to work properly in the KDE/plasma environment?When I run MEMS-studio from the command line I get this output from the console: Searching in: "/home/senbuvis/STMicroelectronics/STM32Cube/STM32CubeProgrammer/bin" Searching in: "/home/senbuvis/STMicroelectronics/STM32CubeProgrammer/bin" Searching in: "/home/senbuvis/STMicroelectronics/STM32Cube/bin" Searching in: "/home/senbuvis/STMicroelectronics/bin" Searching in: "/opt/STMicroelectronics/STM32Cube/STM32CubeProgrammer/bin" Searching in: "/opt/STMicroelectronics/STM32CubeProgrammer/bin" Searching in: "/opt/ST

What is the Shock Detection to Interrupt latency of the HSLIS331DL 3-axis digital MEMS accelerometer?I have an application where I would like to configure the device for impact detection that would drive an interrupt when sensed. I am trying to determine what the time is from when the Acceleration is sensed (based on the threshold) to when the Internal Interrupt (INT) is driven out on the pin.

What is the Impact Detection to Interrupt pin being driven latency of the HSLIS331DL 3-axis digital MEMS accelerometer?I have an application where I would like to configure the device for impact detection that would drive an interrupt when sensed. I am trying to determine what the time is from when the Acceleration is sensed (based on the threshold) to when the Internal Interrupt (INT) is driven out on the pin.

Hello,We have been working with the LIS3DH Accelerometer on an Android 11 based device. We have Integrated the corresponding Kernel drivers and the STM Android Sensor IIO HAL.As per our understanding our Android device should be able to read values from the accelerometer and rotate the screen accordingly, but this feature is not working as expected.When enabling the debug output of the Android WindowOrientationListener I saw that the code always returns a “proposedRotation=-1�? identifier, and when doing some research, I noted that this might be caused when the accelerometer has not been calibrated.I reviewed the STM Android Sensor IIO HAL, and I noted that there is a calibration_daemon which depends on a calibration tool.Could you please explain me if this calibration tool is an external APK? And provide information about how could I enable and run the calibration_daemon?

Hi,I'm having trouble following how to properly setup free fall detection on the LIS2DH12. I'd like to generate an interrupt when the device goes from rest to free falling for a couple feet. The duration of the fall would be approximately 200ms. I'm a bit confused by how the combination of the INT1_CFG, INT1_THS and INT1_DURATION registers affect free-fall detection. Some questions:INT1_CFG - what are the differences in high vs low interrupt enabling? If low is enabled, does it wait for the  current reading to drop below INT1_THS threshold value for INT1_DURATION? Conversely if high is enabled, does it wait for the current reading to rise above INT1_THS threshold value for INT1_DURATION?A free-fall algorithm would typically detect three states, (1) Resting (+/- 1g on one or more axis, depending on how the chip is oriented) to initial acceleration (+/- N acceleration increase on the axis, or axes, of fall direc