Rohm Breadcrumb

 

Kionix Productdetail

 
product-image
 

KXCJK-1038
Tri-Axis, User Selectable 4g, 8g, 16g, Digital (I²C) Output, 3x3x0.9mm LGA - KXCJK-1038

The Kionix KXCJK is a low power tri-axis accelerometer with digital I²C output. The KXCJK features user-selectable parameters including 8-bit, 12-bit, or 14-bit modes, g-ranges from ± 4g, 8g or 16g, and Output Data Rates from 0.781 Hz to 1600 Hz. This part features a 16-pin package, making it pin compatible with other popular products on the market, and offers a low-power motion interrupt. The KXCJK also has internal voltage regulators that allow operation from 1.8 V to 3.6 V with an operating temperature range of -40°C to +85°C.

Not Recommended for New Designs.

Highlights

  • Small 16-pin, 3x3x0.9 mm package
  • Ultra-low power consumption
  • Superior offset stability
  • Up to 14-bit resolution
  • Embedded wake-up function and internal voltage regulator

Product Specifications

Axis G Range Sensitivity Noise (µg/√Hz) Resolution Package Size Pins Package Type Interface Output Wakeup Operating Temperature (Min.)[°C] Operating Temperature (Max.)[°C] Supply Voltage [V] Current Consumption
3 4g, 8g, 16g, User-selectable 512 (14-bit), 32, 16, 8 (8-bit), 512, 256, 128 (12-bit), (counts/g) - 8-bit, 12-bit, 14-bit 3x3x0.9mm 16-pin LGA Digital (I²C) Yes -40 85 1.8-3.6 10-135 μA

EVALUATION BOARDS

PART NUMBER BUY NOW DESCRIPTION DOCUMENTATION
EVAL-KXCJK-1038 Cart KXCJK-1038 Evaluation Board

Developer Tools

Buy Now Description
IoT Evaluation and Development Kit Cart Kionix's IoT evaluation kit utilizes hardware platform based on Nordic Semiconductor's Bluetooth LE SoC. The compact (27/32mm x 4.2mm), highly integrated modular sensor system integrates Kionix's accelerometer (KX122-1037), combo accel-mag (KMX62-1031), and combo accel-gyro (KXG07) sensors along with ROHM's barometric pressure sensor (BM1383AGLV). Additional sensors can be evaluated using the add-on board that can fit inside the kit. This enables measurement of 3D acceleration, 3D magnetism, 3D rotation, air pressure, and temperature, making it ideal for training, prototyping, and initial set development of IoT and wearable applications.