With a measurement range of up to ±28 g, the BHI385 enables precise motion analysis for high-impact activities and combines a gyroscope and accelerometer with embedded AI software and an integrated 32bit microprocessor, creating a complete programmable system based on Bosch Sensortec’s IMU platform.
The BHI385 builds on the BHI360 sensor generation and adds advanced programmability and self-learning AI, making it suitable for applications such as personalised coaching, sport-specific feedback or gesture-controlled interfaces.
The BHI385’s embedded AI supports key motion functions including 6DoF/9DoF sensor fusion, step counting, activity recognition, and gesture detection (single/double/triple tap). Self-learning cyclic gesture recognition allows it to detect repeated motion patterns and adapt them to the individual – not only recognising what is being done, but also how well it is being performed.
All processing runs on the integrated low-power processor, avoiding wake-up calls to the host CPU. Typical current consumption is less than 500 µA at 50 Hz for sensor fusion, and under 50 µA for simpler accelerometer-based algorithms.
The BHI385 is offered in a compact 20-pin LGA package measuring 2.5 x 3.0 x 0.95 mm³. Its low power consumption and embedded intelligence make it suitable for wearables, hearables, and edge AI systems. Bosch Sensortec provides developers with Motion AI Studio and an Open SDK for custom ML model integration.
The BHI385’s high acceleration range and smart algorithms also make it suitable for impact and collision detection as well as intuitive human-machine interaction via motion control.
Target devices include smartwatches and fitness bands, specialised sports wearables such as smart clothing, head-mounted devices for AR/VR and audio use, and connected fitness or gaming equipment.
The BHI385 will be available from Q3 2025.
