Tiny 3-axis accelerometer gets improved specs
- 저자:Ella Cai
- 에 출시:2017-03-31
Kionix KXTJ3 is a drop-in replacement for the earlier 2 x 2 x 0.9mm KXTJ2 (Kionix’s best selling accelerometer), with from better noise performance to extended range.
Toys, wearables, remote controls, smart home and IoT are foreseen applications.
“A common use case of accelerometers is for power savings, allowing the system to sleep when there is no motion and then triggering the system to wakeup when motion occurs,” said the firm. “KXTJ3 has an embedded motion wake-up engine offering thresholds as low as 3.9mgravity. It can also operate as low as 1.5uA at its lowest output data rate.”
User-configurable ranges are ±2, 4, 8, or 16gravity with 8, 12 and 14bit resolution modes.
Output data rate can be set between 0.781 and 1,600Hz.
Current consumption is 0.9µA in standby, 10µA in low power, and 155µA in high resolution mode.
It communicates over I2C at up to 3.4MHz and has a built-in voltage regulator for operation over 1.71 to 3.6V.
Other use cases for accelerometers include detecting device orientation relative to gravity, enabling a more natural user-experience and interactivity, and fostering automation by providing awareness and context of a device or its use.
Toys, wearables, remote controls, smart home and IoT are foreseen applications.
“A common use case of accelerometers is for power savings, allowing the system to sleep when there is no motion and then triggering the system to wakeup when motion occurs,” said the firm. “KXTJ3 has an embedded motion wake-up engine offering thresholds as low as 3.9mgravity. It can also operate as low as 1.5uA at its lowest output data rate.”
User-configurable ranges are ±2, 4, 8, or 16gravity with 8, 12 and 14bit resolution modes.
Output data rate can be set between 0.781 and 1,600Hz.
Current consumption is 0.9µA in standby, 10µA in low power, and 155µA in high resolution mode.
It communicates over I2C at up to 3.4MHz and has a built-in voltage regulator for operation over 1.71 to 3.6V.
Other use cases for accelerometers include detecting device orientation relative to gravity, enabling a more natural user-experience and interactivity, and fostering automation by providing awareness and context of a device or its use.
