BMI160 6axis inertial measurement unit (IMU) in a MEMS package that integrates a 16bit accelerometer and a lownoise 16bit 3axis gyroscope. It outputs acceleration data along the X, Y, and Z axes and gyroscope data corresponding to rotation rates around the X, Y, and Z axes. In full operation mode with both the accelerometer and gyroscope enabled, current consumption is typically 950 microamps. This enables alwayson sensing in battery powered devices. The BMI160 is a small, low power, low noise 16bit inertial measurement unit designed for mobile applications that require accurate, realtime sensor data. It is well suited for use in applications such as augmented reality or indoor navigation. Key benefits Accurate motion sensing: provides simultaneous acceleration and rotation data in three axes for precise tracking of movement and orientation. Low power consumption: typical current of 950 microamps in full operation supports battery powered, alwayson sensing. Compact and integrated: single MEMS package combines a 16bit accelerometer and a 16bit gyroscope in a compact form factor for space constrained designs. Low noise performance: designed to deliver clean sensor data suitable for realtime applications. Attributes and feasibility Function: measures linear acceleration and rotational velocity along X, Y, Z axes. Size and packaging: compact MEMS sensor package suitable for mobile and wearable devices. Performance: 16bit sensing with low noise characteristics to support accurate realtime data. Compatibility: designed for mobile applications that require precise motion tracking and orientation data. Practical use scenarios Augmented reality and mobile gaming: accurate orientation and motion data improve AR experiences and interactive gameplay on smartphones and tablets. Indoor navigation and mapping: realtime motion data enhances positioning and navigation performance where GPS is limited or unavailable. Wearable devices and gesture control: lightweight sensing enables activity recognition, health monitoring, and intuitive gesturebased interfaces in fitness bands and smart wearables.