The NeuroSense is a compact AI chip designed specifically for wearable devices, featuring neuromorphic analog signal processing technology. Its main focus lies in resolving common challenges faced by wearable tech, such as high power consumption, and limited battery life. By enabling highly accurate heart rate monitoring and activity recognition, this chip facilitates better fitness tracking without excessively draining battery resources.
The NeuroSense's capability of operating independently from cloud connections addresses significant privacy concerns and data latency issues. It excels in delivering enhanced accuracy in heart rate measurements by utilizing a simple photoplethysmogram (PPG) configuration, which involves minimalistic hardware components like two LEDs and one photodiode. Through this setup, it achieves precision in bio-signal extraction far beyond conventional algorithmic methods, particularly when the wearer is in motion.
Furthermore, the NeuroSense empowers wearables with advanced features like learning and recognizing user-specific activity patterns. With ultra-low power consumption and a compact size, the NeuroSense enables manufacturers to preserve space within constrained wearable designs while simultaneously enhancing battery life—solving a key concern in the realm of constantly operating smart devices.
