Neblina™ Bluetooth® Wireless Motion Sensor

The Neblina™ core module is a low-power self-contained AHRS, VRU and IMU with wireless connectivity developed by Motsai. The miniature board features a high-performance sensor fusion algorithm that makes it suitable to explore motion analytics in industrial systems or in wearable technology devices in applications such as biomechanical analysis, sports performance analytics, remote physical therapy monitoring, quantified self, health and fitness tracking, among others.

Features & Benefits

3D Tracking

The Neblina module facilitates the evaluation of real-life applications that require 3D orientation, 3D position, 3D acceleration and 3D dynamic data. It showcases Motsai’s quaternion sensor fusion along with the real-time control architecture to deliver full 9 DOF motion tracking in a miniature and lightweight package.

Miniature Integration

The Neblina module can function as an IMU (Inertial Motion Unit), a VRU (Vertical Reference Unit), and AHRS (Attitude and Heading Reference System). Typical applications include motion analysis in sports, industrial monitoring systems and gaming. A high-level API is provided for application developers, along with a library of popular motion analysis solutions.

Smart Sensor

The Neblina module was developed to meet the need of small motion capture solutions and system integration. The Neblina module can be used as a standalone system or can be integrated to more complex system via a miniature connector. Our sensor solution showcases extremely efficient power management and low-energy operation.

Licensable

Our core solution demonstrate the full chain from sensor acquisition, fusion, compression and post-processing.  Combined with our Gateway Solutions, they can be licensed to form the core of a modern IoT motion sensing product.

Capabilities

  • Precision tracking of both fast and slow motion
  • Tuneable motion parameters
  • Bluetooth® connection to smartphones, tablets and other devices
  • Low-power activity detector, including precision pedometer
  • High sensor fusion rate
  • Over-the-air firmware updates​
  • Li-ion polymer battery charger and management​
  • Connectors for added functionality or interface to existing design​
  • LED status indication
  • Embedded Linux Compatible

Basic API Functions

Quaternions

Gesture train and detect

Activity detection

Angular velocity

Yaw, Pitch, Roll

Trajectory train and detect

Heading

Angular rotation

Pedometer step count

Swipe detection

Linear acceleration

Battery status

Visit the Documentation and API Pages
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