Finland-based VR gesture recognition company Doublepoint emerged from stealth and raised USD 3.3 million in a funding round with participation from FOV Ventures, Superangel VC, Superhero Capital, among other VCs and angel investors. Funding utilization remained undisclosed.
Doublepoint has developed a machine learning algorithm that accurately detects microgestures and surface interactions using sensors present in Android smartwatches. This technology can detect such microgestures more cheaply than cameras and uses bio-acoustic sensors to detect wrist topography and changes as users move. The company plans to license the technology to others, having pending patents for its software platform. Additionally, the company plans on providing custom hardware designs optimized for touch detection.
Analyst QuickTake: Doublepoint differentiates itself from competitors by utilizing sensors present in existing smartwatches, in comparison to competitors such as UltraLeap who offer hand tracking solutions via its Ultraleap 3Di camera priced at USD 275.
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