RADiCAL has acquired OYMotion Technologies Co., Ltd for an undisclosed amount. This corporate acquisition integrates OYMotion, a company specializing in small profile and low power biometric sensors and machine learning-based pattern recognition, into RADiCAL's operations. OYMotion has been developing advanced technologies and products since its establishment in 2015, focusing on non-invasive brain-computer interfaces, AI decoding of neural signals, and core components for robotics.
OYMotion's product portfolio includes the gForce gesture control armband, which continuously monitors forearm muscle biometric signals (EMG) and tracks arm pose with sensitive motion sensors. This technology is critical for touchless control in VR, AR, Smart TV, Toys, Drone, and Robotics industries. Additionally, OYMotion produces the ROHand dexterous hand, simulating human hand movements for applications in humanoid robots and bionic prosthetics, alongside intelligent electroencephalogram (EEG) machines and wearable exoskeletons, serving educational research and clinical medicine.
This acquisition represents a strategic move for RADiCAL to enhance its capabilities in real-time motion capture and human-computer interaction. OYMotion's expertise in biometric sensing and AI-driven pattern recognition offers a hardware foundation that can significantly augment RADiCAL's existing solutions, likely involving advanced digital human and immersive experience technologies. The integration of OYMotion's extensive patent portfolio, comprising over 60 patents, including invention patents, provides RADiCAL with valuable intellectual property in these rapidly evolving fields. The synergy lies in combining OYMotion's precise biometric data capture with RADiCAL's processing and application platforms.
The acquisition is expected to enable the combined entity to deliver more comprehensive and integrated hardware-software solutions across various sectors. This includes advancing control mechanisms for virtual and augmented reality, developing more intuitive interfaces for robotics, and pushing innovation in rehabilitation medicine and bionic prosthetics. The combined force aims to solidify its position in markets requiring highly responsive and accurate human-machine interaction, focusing on future developments in embodied AI and immersive computing.