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KXTJ3-1057
Tri-Axis, User Selectable ± 2g, 4g, 8g, 16g, Digital (I²C) Interface and Motion Detection/Wake-up Interrupt, 2 x 2 x 0.9 mm LGA - KXTJ3-1057

The KXTJ3 is the next generation of our best-selling KXTJ2 tri-axis accelerometer that provides the best value and high performance available in the same pin-to-pin compatible 2 x 2 x 0.9 mm 12-pin LGA package. New and improved is an extended g-range up to ±16g, higher resolution embedded wake-up function down to 3.9mg, and more flexible interrupt circuitry. The KXTJ3 sense element offers lower noise performance, exceptional shock resiliency, stable performance over temperature, and virtually eliminates offset and sensitivity shifts from reflow.

Highlights

  • Excellent value with low cost/high performance ratio
  • Extended 16g-range
  • Low noise
  • High resolution wake-up function

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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 2g, 4g, 8g, 16g, User-selectable 1024 (14-bit), 64, 32, 16 (8-bit), 1024, 512, 256 (12-bit), (counts/g) 150 8-bit, 12-bit, 14-bit 2x2x0.9mm 12-pin LGA Digital (I²C) Yes -40 85 1.71-3.6 10-155 μA

EVALUATION BOARDS

PART NUMBER BUY NOW DESCRIPTION DOCUMENTATION
KXTJ3-1057-EVB0A1 Cart KXTJ3-1057 Evaluation Board Board Layout
Board Schematic

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.