uSens, a 3D human-computer interaction company from Silicon Valley, recently unveiled an updated version of their Fingo SDK. This new release marks significant advancements in the underlying gesture recognition algorithms, introducing a range of two-handed interactions such as fist-to-fist gestures, handwriting, and interlaced ten-finger movements. By improving the recognition of overlapping hand movements, the system can now track the flexible motion of all ten fingers, even when parts are obscured. This technology leads globally and addresses a critical pain point in gesture-based applications.
Launched in February 2017, Fingo combines both hardware and software seamlessly. The hardware uses two infrared cameras and three infrared auxiliary lights to capture hand movements. On the software side, computer vision and deep learning algorithms help recognize bone structures of both hands, enabling accurate and low-latency gesture recognition. After six months of continuous refinement, the latest SDK version shows marked improvements in overall stability, precision, and gesture diversity, with enhanced optimization for common gestures.
Human hand movements are inherently complex and versatile, encompassing not just specific shapes but also intricate actions like fist punches, finger crosses, and overlapping hands. These actions often involve significant occlusions at joint points, making precise identification challenging. uSens Co-founder and CTO Dr. Fei Yue explained, "Our approach to hand tracking focuses on enabling natural interactions, rather than merely identifying fixed gestures or tracking individual fingertips. Through the tracking of 26 degrees of freedom and deep learning algorithms, we aim to identify bone structures. People interact actively, not passively, and these everyday gestures—like clapping, shaking hands, or crossing arms—are essential for creating immersive 3D experiences. While other solutions haven't fully tackled this, we've been pioneering research and experiments in this area."
[Image description: A new breakthrough in gesture recognition algorithm—uSens releases a new version of Fingo SDK]
Wu Wentao, Senior Technical Director at uSens, emphasized the practicality of this iteration. "We focused on making our updates useful and intuitive. For instance, in industries like sign language communication for the hearing-impaired, there's a lack of effective solutions for hand-crossing gestures. Similarly, in VR social platforms or educational VR settings, repetitive gestures can become cumbersome. Our updates include a series of two-handed interactions, such as writing on hands or crossing fingers, which reduce the need for awkward hand movements and significantly enhance user experience."
Since its launch earlier this year, Fingo has partnered with numerous domestic and international AR/VR headset manufacturers. Some companies are already incorporating Fingo into their interactive headsets, with anticipated product launches by late this year or early next year. The developer community using Fingo is growing rapidly, covering sectors such as gaming, real estate, education, automotive, and exhibitions. To better serve the Chinese market, uSens has established operational, R&D, and customer support teams in Beijing, Shenzhen, and Hangzhou, focusing on assisting local clients and developers.
As the technology continues to evolve, uSens remains committed to pushing the boundaries of what’s possible in gesture recognition, ensuring a more intuitive and immersive future for human-computer interaction.
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A mining light tower is a tall structure equipped with powerful floodlights that are used to illuminate large areas in mining operations. These towers are typically portable and can be easily moved around the mining site as needed.
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