With Oscillations’ connection to the movement arts, it made sense to experiment with existing motion capture technology to find accurate, consistent, and scalable ways to obtain three-dimensional motion data for purposes such as animation or machine learning to augment performances in virtual reality.Īn additional motivation to learn more about motion capture was connected to our early experiments with spatial audio (read more about them in our spatial audio blog post). Apart from using ambisonic recordings, we attempted to sharpen the effect of audio-visual synchrony by connecting sounds to movements in post-production, but this proved to be difficult using only two-dimensional motion tracking software.Īlthough we did not have time to return to our spatial audio prototype with 3D data, below we describe the results of having played with five different hardware and software options for motion capture. Then enter the following code: import glob. Create a new file and name it gifmaker.py. The first method you will learn about is how to take a series of images (JPGs) and turn them into an animated GIF. Each description is formatted similarly to a tech review you would see online and at the end, we summarize our findings in a chart. You will learn how to use both of these methods to create an animated GIF in this article. Our experiments are by no means scientifically sound nor rigorous, but we hope to give readers an intuition of each technology’s efficacy and even how to improve upon them for motion capture purposes. This device has been equipped with an air cylinder as an actuator which is to be developed for a force sense presentation. Presented motion capture device can detect the motion of fingers of an operator. Mocha is a graphic tracking software by Boris FX known for its planar tracking capabilities. This paper reports a new type of wearable motion capture device. The company has a VR (which they really mean 360) version that works specifically with equirectangular footage. Ranging from $995 to $1695, this option is on the relatively cheap side of motion capture technology and benefits from the fact that, except for a computer, Mocha does not need any additional hardware to work. A minimal solution to hand motion capture from a single color camera at over 100fps. However, right off the bat we noticed how tracking a 360 video is still just motion tracking in two dimensions. This is a limitation especially if Oscillations were to incorporate depth into their virtual reality experiences. This was the software we initially used to attempt a prototype with spatialized audio, and while we could visually fake spatialization we could not spatialize audio without Z-axis information. Create 3D animations from any video Full-body, face & hand tracking from a single video captured from any device, available as an FBX, GLB.
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