Silicon Valley-based 3D human-computer interaction company uSens recently announced an updated version of their Fingo SDK, making significant advancements in the underlying gesture recognition algorithms. This latest release introduces a range of two-handed interactions, including fist-to-fist, hand-writing, and ten-finger crossings. The improved ability to recognize occluded hand movements allows for the precise tracking of all ten fingers, a technology that leads globally and effectively addresses issues related to gesture-based operations in applications.
Launched in February 2017, Fingo combines both hardware and software into one seamless solution. The hardware uses two infrared cameras and three infrared auxiliary lights to track hand movements, while the software leverages computer vision and deep learning algorithms to recognize bone structures of both hands. Most common gestures can now be accurately and quickly identified. After six months of continuous refinement, the new SDK shows marked improvements in overall stability, precision, and diversity of gestures, with particular emphasis on optimizing common gestures.
Human hand movements are naturally complex and fluid, involving various hand shapes, punches, finger crosses, and overlapping hands. These actions often result in significant occlusions of joint points, making accurate identification challenging. uSens co-founder and CTO Dr. Fei Yue explained, “Our hand tracking aims to enable natural interactions rather than simply identifying fixed gestures or tracking individual fingertips. Through the tracking of 26 degrees of freedom and advanced algorithms like deep learning, we identify the skeleton structure of the hand. We want to move beyond passive interactions to active ones, incorporating everyday activities like clapping, shaking hands, or crossing arms. Creating immersive 3D experiences requires overcoming these challenges, and we’ve taken the lead in this research.â€
*Image: New breakthrough in gesture recognition algorithm—uSens releases updated Fingo SDK*
Wu Wentao, uSens’ senior technical director, emphasized the practicality of this iteration. “We focused on creating solutions that are useful, intuitive, and easy to implement. In industries like sign language communication, where many gestures involve hand overlaps, existing systems struggle or fail entirely. In VR social platforms and educational settings, users often face difficulties with repetitive gestures. To address these issues, we’ve enhanced our algorithms to support more two-handed interactions, like writing on palms or crossing hands. These features reduce the need for awkward, dangling operations, significantly improving user experience.â€
Since its introduction earlier this year, uSens’ hand tracking solution, Fingo, has formed partnerships with both domestic and international AR/VR headset manufacturers. Some companies are already integrating Fingo into their interactive headsets, with products expected to hit the market by late this year or early next year. The developer community using Fingo continues to grow, covering sectors like gaming, real estate, education, automotive, and exhibitions. uSens has established operations, R&D, and after-sales support teams in Beijing, Shenzhen, and Hangzhou to better serve Chinese clients and local developers.
In addition to these developments, uSens remains committed to innovation and pushing the boundaries of what’s possible in gesture recognition. Their dedication to improving user experiences across various industries demonstrates their leadership in the field.
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