Datasea Announces Major Acoustic Technology Advancements in Brain-Computer Interface Applications

Core Insights - Datasea Inc. has made significant advancements in acoustic-driven technologies aimed at brain-computer interfaces (BCI) and rehabilitation robotics, which are expected to support applications in embodied intelligence and health robotics within a multi-billion-dollar market [1][12]. Group 1: Technology Advancements - The company has developed two key acoustic technology initiatives focused on assistive communication and rehabilitation robot control, enhancing the application of BCI technologies [3][4]. - The assistive communication initiative aims to create a BCI-based system for recognizing user intentions and controlling external devices, particularly for patients with neurological conditions [4][5]. - The rehabilitation robotics initiative seeks to translate neural signals into structured control logic for upper-limb rehabilitation robots, improving the alignment of neural signal interpretation with robotic execution [6][7]. Group 2: Integration and Framework - Datasea's advancements build upon its existing acoustic-driven BCI technology framework, which addresses issues such as noise interference and signal stability during BCI signal acquisition [8][10]. - The company is establishing a complete technical loop that includes signal enhancement, personalized intent decoding, structured system control, and feedback mechanisms, laying a foundation for industrial-grade BCI technology deployment [10][11]. Group 3: Market Context - The global BCI market is projected to reach approximately USD 15–20 billion by 2030, with non-invasive BCI technologies expected to grow rapidly due to their safety and broader application potential [16]. - Key demand drivers for BCI technologies include medical rehabilitation, consumer electronics, and intelligent wearable devices, supported by a growing ecosystem for technology and application [12][16]. Group 4: Strategic Collaborations - Datasea has initiated collaborations with domestic health robotics companies to integrate its acoustic-driven BCI technologies into health robot systems, facilitating the transition from research and development to practical applications [11].