LIS2DW傳感器變送器的運動傳感器-加速計規(guī)格書PDF中文資料

LIS2DW屬于傳感器變送器的運動傳感器-加速計。由意法半導(dǎo)體集團制造生產(chǎn)的LIS2DW運動傳感器 - 加速計加速度計用于檢測并響應(yīng)運動或振動等加速度的變化。加速度計類型有 X、Y 或 Z 軸上的模擬或數(shù)字加速度計，加速度范圍為 ±0.5 g 至 ±2000 g，靈敏度為 1 至 500 k (LSB/g)，輸出類型有模擬電壓、藍(lán)牙、數(shù)字、DSI、IEPE、I2C、PCM、PWM、射頻和 SPI。

Features

? Ultra-low power consumption: 50 nA in powerdown

mode, below 1 μA in active low-power

mode

? Very low noise: down to 1.3 mg RMS in lowpower

mode

? Multiple operating modes with multiple

bandwidths

? Android stationary detection, motion detection

? Supply voltage, 1.62 V to 3.6 V

? Independent IO supply

? ?2g/?4g/?8g/?16g full scale

? High-speed I2C/SPI digital output interface

? Single data conversion on demand

? 16-bit data output

? Embedded temperature sensor

? Self-test

? 32-level FIFO

? 10000 g high shock survivability

? ECOPACK, RoHS and “Green” compliant

Description

The LIS2DW is an ultra-low-power, high

performance three-axis linear accelerometer

belonging to the “femto” family which leverages

on the robust and mature manufacturing

processes already used for the production of

micromachined accelerometers.

The LIS2DW has user-selectable full scales of

?2g/?4g/?8g/?16g and is capable of measuring

accelerations with output data rates from 1.6 Hz

to 1600 Hz.

The LIS2DW has an integrated 32-level first-in,

first-out (FIFO) buffer allowing the user to store

data in order to limit intervention by the host

processor.

The embedded self-test capability allows the user

to check the functioning of the sensor in the final

application.

The LIS2DW has a dedicated internal engine to

process motion and acceleration detection

including free-fall, wakeup, highly configurable

single/double-tap recognition, activity/inactivity,

stationary/motion detection, portrait/landscape

detection and 6D/4D orientation.

The LIS2DW is available in a small thin plastic

land grid array package (LGA) and it is

guaranteed to operate over an extended

temperature range from -40 °C to +85 °C.

Applications

? Motion detection for wearables

? Gesture recognition and gaming

? Motion-activated functions and user interfaces

? Display orientation

? Tap/double-tap recognition

? Free-fall detection

? Smart power saving for handheld devices

? Hearing aids

? Portable healthcare devices

? Wireless sensor nodes

? Motion-enabled metering devices