Granted Patent Covers Neural Measurement of Weight, Torque and Force with Broad Applications in Brain-Computer Interfaces, Industry 4.0 and Extended Reality
Wearable Devices Ltd. (the “Company” or “Wearable Devices”), a technology growth company specializing in artificial intelligence (“AI”)-powered touchless sensing wearables, today announced that the United States Patent and Trademark Office has officially granted the Company’s patent titled “Gesture and Voice-Controlled Interface Device.”
This newly granted patent protects Wearable Devices’ proprietary neural interface technology that enables gesture-based control and real-world physical measurements directly from the wrist. The patent includes claims for estimating the weight of objects, measuring torque applied when fastening or rotating objects (such as screws or faucets), and quantifying applied force, like when securing connectors in cable harnesses. It also encompasses capabilities related to voice commands, user interaction, extended reality (“XR”) embodiment, and brain-computer interface innovations.
“Securing this patent is a major milestone in the development and protection of our core technologies,” said Guy Wagner, co-founder, President and Chief Scientific Officer of Wearable Devices. “We’re excited to integrate these advanced neural capabilities into our product lines and demonstrate their transformative potential in real-world environments.”
The patent supports Wearable Devices’ strategic IP roadmap, which emphasizes building a broad and adaptable global patent portfolio covering future applications of wearable bio-potential sensors. The innovation covered by this patent is expected to play a pivotal role in various sectors, with key use cases including:
- Deepening immersion and interaction in XR environments.
- Boosting efficiency and accuracy in logistics, industrial, and manufacturing workflows.
- Enhancing daily functionality and embodiment for individuals with severe disabilities.
This patent grant strengthens the Company’s position at the forefront of the neural interface revolution, as it continues to develop next-generation technologies that blend natural human input with digital intelligence.
