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Bosch Sensortec

 

Bosch Sensortec BHI385 Inertial Measurement Unit (IMU)

Integrated AI and high-dynamic motion tracking for next-generation wearables

Bosch Sensortec's BHI385 Inertial Measurement Unit (IMU) is a fully programmable smart sensor designed to bring advanced motion intelligence directly to edge devices. Combining an extended accelerometer range with integrated AI processing capabilities, the BHI385 enables accurate motion tracking and activity recognition in demanding, high-dynamic applications.

Built for next-generation wearable devices, the BHI385 supports sophisticated motion analysis, including detailed fitness tracking, sports performance monitoring, and impact detection. Its integrated processing architecture reduces the workload on the host processor while enabling low-power operation and real-time sensor intelligence.

The device is supported by Bosch Sensortec's Motion AI Studio, allowing developers to efficiently deploy custom machine learning models and motion algorithms. With its self-learning AI capabilities, the BHI385 can adapt to specific user behaviors and application requirements, providing enhanced flexibility and accuracy for wearable and human-machine interface designs.

Features

  • Fully programmable smart IMU architecture
  • Extended accelerometer g-range for high-dynamic motion tracking
  • Integrated AI processing with self-learning functionality
  • Motion AI Studio support for custom machine learning deployment
  • On-sensor processing reduces host MCU workload
  • Accurate motion recognition and classification
  • Low-power operation for battery-powered devices
  • Optimized for wearable and edge AI applications
  • Supports custom motion and fitness algorithms

Applications

  • Sports activity tracking
  • Detailed sports movement analysis
  • Fitness and performance monitoring
  • Impact and fall detection
  • Wearable devices
  • Smart health monitoring systems
  • Human-machine interaction
  • Motion-based user interfaces
  • AI-enabled edge sensing applications

Benefits

  • Enables advanced motion intelligence directly at the edge
  • Simplifies deployment of machine learning-based motion applications
  • Improves accuracy in sports and fitness tracking scenarios
  • Supports highly dynamic movements and impact events
  • Extends battery life through efficient sensor processing

 

  • Reduces system complexity by integrating sensing and AI capabilities
  • Supports highly dynamic movements and impact events
  • Extends battery life through efficient sensor processing
  • Reduces system complexity by integrating sensing and AI capabilities