Perception Neuron 3
$ 0
The Perception Neuron 3 by Noitom provides full-body motion capture for robotics and AI training, enabling natural human movement to drive humanoid learning and teleoperation systems.
Available on backorder
Specifications and details:
| Type | Full-Body Motion Capture Suit |
|---|---|
| Availability | In production |
| Manufacturer | Noitom |
| Nationality | China, USA |
| Website | https://www.noitom.com/ |
| Sensor Dimensions | 27.9×16.2×11.6mm |
| Static Attitude Accuracy | Roll 1°/Pitch 1°/Yaw 2° |
| Operating Frequency Band | 2400-2483MHz |
| Sensor Weight | 4.1 g |
| Data Calculation Frame Rate | 600Hz |
| Communication Method | 2.4GHz RF |
| Gyroscope Range | ±2000dps |
| Data Output Frame Rate | 60Hz |
| Operating Time | ≥3.5H |
| Accelerometer Range | ±8G |
| Transmission Power | <8dBm |
| Charging Time | 1H |
| Minimum Resolution | 0.02° |
| Latency | <20ms |
| Operating Temperature | -5°C~40°C |
Description
The Perception Neuron 3 system from Noitom Technology enables full-body motion capture that translates human movement into digital intelligence. It helps machines understand how people move, balance, and coordinate actions in real environments. As a result, researchers can train humanoid systems using natural human motion instead of simplified input data. Moreover, the system supports smooth data flow for robotics and AI training pipelines.
2026 Humanoid Robot Market Report
160 pages of exclusive insight from global robotics experts – uncover funding trends, technology challenges, leading manufacturers, supply chain shifts, and surveys and forecasts on future humanoid applications.
In addition, the platform strengthens whole-body teleoperation by linking human motion directly to robotic control systems. Developers can capture complex movement patterns and reuse them for learning-based models. Consequently, teams improve the realism and adaptability of humanoid behavior. At the same time, the wireless design allows users to move freely, which improves the quality and diversity of collected training data. Therefore, it fits well into research environments that focus on embodied AI and advanced robotics.
Contact Humanoid.guide
Website: https://www.opendroids.com/data-collection-glove
