By running machine learning models locally, it avoids expensive PC-side GPU computation or cloud processing, delivering 23-joint 6DoF motion data with a claimed ML latency under 10 milliseconds. South Korean startup Soulart has launched the Soulart Station, a markerless full-body motion tracker for VR, VTubing, and motion capture.
By running machine learning models locally, it avoids expensive PC-side GPU computation or cloud processing, delivering 23-joint 6DoF motion data with a claimed ML latency under 10 milliseconds.
The device uses a Time-of-Flight (ToF) sensor and an onboard Neural Processing Unit (NPU) to capture 3D point cloud data and process motion tracking on the device.
South Korean startup Soulart has launched the Soulart Station, a markerless full-body motion tracker for VR, VTubing, and motion capture.
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South Korean startup Soulart has launched the Soulart Station, a markerless full-body motion tracker for VR, VTubing, and motion capture. The device uses a Time-of-Flight (ToF) sensor and an onboard Neural Processing Unit (NPU) to capture 3D point cloud data and process motion tracking on the device. By running machine learning models locally, it avoids expensive PC-side GPU computation or cloud processing, delivering 23-joint 6DoF motion data with a claimed ML latency under 10 milliseconds.
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