STMicroelectronics LSM6DSV16XTR

Overview

LSM6DSV16XTR from STMicroelectronics is a 6-axis inertial measurement unit (IMU) integrating a 3-axis accelerometer (±2/±4/±8/±16 g FS) and 3-axis gyroscope (±125 to ±4000 dps FS), featuring triple-channel architecture for concurrent UI, OIS, and EIS data processing, 4.5 KB Smart FIFO, embedded machine learning core (MLC), and Qvar electrostatic sensing for tap/swipe gestures - deployed in smartphones, AR/VR headsets, and camera stabilization modules.

For engineers reviewing the LSM6DSV16XTR datasheet, LSM6DSV16XTR pinout, LSM6DSV16XTR application, or LSM6DSV16XTR equivalent, key selection considerations include triple-channel OIS/EIS isolation, MIPI I3C® v1.1 + auxiliary SPI interface support, ASC-driven real-time reconfiguration, SFLP sensor fusion quaternion output, and Qvar-based low-power UI event detection without host CPU involvement.

Technical Context

The LSM6DSV16XTR implements hardware-accelerated motion processing across three independent data paths: Channel 1 (UI) supports configurable ODR/FS on primary I²C/SPI/I3C®; Channel 2 (OIS) delivers 7.68 kHz gyroscope/accelerometer data via dedicated auxiliary SPI with ±2 g / ±125–2000 dps filtering; Channel 3 (EIS) provides freerun/FIFO-tagged outputs with timestamping and compression. All channels operate concurrently with independent register sets and interrupt routing.

Its embedded architecture integrates a 8-state finite state machine (FSM), 4-tree machine learning core (MLC) with 128-node capacity, adaptive self-configuration (ASC) enabling register rewrites upon pattern detection, and analog hub supporting external ADC input - all powered by dual supply rails (Vdd: 1.71–3.6 V; Vdd_IO: 1.08–3.6 V) at 0.65 mA in combo high-performance mode.

Key Specifications

Pinout & Package

LSM6DSV16XTR is housed in a compact LGA-14L package (2.5 mm × 3.0 mm × 0.83 mm), optimized for space-constrained mobile and wearable designs. Pin functions are mode-configurable across three operational modes (I²C/SPI/I3C®, sensor hub master, or auxiliary SPI).

Key Features

Applications

Equivalent & Alternatives

The following parts are listed as comparable options for similar 6-axis IMU with AI processing applications.

Compared with LSM6DSRXTR and BMI088, the LSM6DSV16XTR uniquely combines triple-channel OIS/EIS/UX isolation, MIPI I3C® v1.1 for low-latency camera sync, Qvar-based zero-power UI, and ASC-driven autonomous reconfiguration - making it the only solution qualified for flagship smartphone camera stabilization and next-gen AR gesture stacks.

Availability

LSM6DSV16XTR is available at Aetrix Electronics and suitable for smartphone camera stabilization, AR/VR motion tracking, wearable fitness monitoring, and industrial vibration analysis requiring stable component supply, long-term lifecycle assurance, and traceable RoHS-compliant sourcing.

Supply support for LSM6DSV16XTR includes scheduled delivery planning, volume procurement assistance, BOM continuity management, traceable sourcing, and lifecycle availability coordination for OEM customers, industrial embedded developers, connected-device designers, and electronics production programs.

Manufacturer

STMicroelectronics is a global semiconductor leader headquartered in Geneva, Switzerland, designing and manufacturing microcontrollers, sensors, power ICs, and automotive chips with vertical fabrication capability and ISO/TS 16949-certified processes.

The LSM6DSV16XTR belongs to ST's iNEMO™ family of intelligent inertial modules, engineered specifically for AI-enhanced motion sensing in battery-constrained, latency-sensitive consumer and industrial edge devices - emphasizing on-sensor intelligence, ultra-low-power always-on operation, and hardware-accelerated sensor fusion.

FAQ

What interfaces does the LSM6DSV16XTR support for OIS data streaming?

The LSM6DSV16XTR uses its dedicated auxiliary SPI interface (pins OCS_Aux, SDO_Aux, SDx, SCx) to stream OIS-critical gyroscope and accelerometer data at 7.68 kHz to the camera module. This path is electrically and logically isolated from the primary I²C/SPI/I3C® interface used by the application processor, ensuring deterministic latency and avoiding bus contention during high-frame-rate video capture.

How does the Qvar functionality differ from standard capacitive touch sensing?

Qvar detects quasi-electrostatic potential variation - not surface capacitance - enabling reliable tap/swipe detection through thin plastic, glass, or fabric housings without direct skin contact. It operates at sub-10 µA, requires no reference electrode, and is immune to moisture or sweat interference, unlike traditional capacitive sensors that rely on body-ground coupling and suffer from false triggers in humid environments.

Can the embedded machine learning core (MLC) process data from external sensors?

Yes - via the sensor hub feature (Mode 2), the LSM6DSV16XTR can connect up to four external sensors (e.g., magnetometer, barometer, microphone) using its I²C master interface, and feed their synchronized data into the MLC for joint classification. The MLC applies configurable filters and features to both internal (accel/gyro) and external sensor streams, enabling multi-modal context awareness like "walking while ascending stairs" or "driving with phone in pocket."

What is the role of Adaptive Self-Configuration (ASC) in reducing system power?

ASC allows the FSM to autonomously rewrite device registers - such as changing accelerometer full-scale range or gyroscope ODR - upon detecting predefined motion patterns (e.g., wrist raise). This eliminates periodic host polling and software-based configuration updates, cutting system-level power by up to 40% in always-on use cases like lift-to-wake or glance-to-activate, while maintaining optimal sensor performance for the detected context.