what we ve built on top of the ai are a number of processing engines on top. we have biomechanical rules written into them so there so there are kinematic models, holonomic constraints which are what the human body can do, in terms of how the joints can move. so, for instance, if i bend my elbow like this, you can t bend it past a certain point of extension. rules like that are written into the system. we can work out where your feet are, and when you are moving around the volume, what that allows us to do is basically create a map of the volume and you within it. there are six cameras in this setup, and that is enough to track about five people in this space, although they may bump into each other a bit. but it can be scaled to whatever size you want, and you can choose the resolution. so, for example, if you were to use a football pitch, it could track about 22 people. the reason we can scale that up to a football sized pitch, for instance, is way up the resolution in the camera to s
fashion innovation agency at the london college of fashion to test out a motion capture rig unlike any i ve used before. no expensive mo cap suits here. no dots painted on my face either. and no professional motion capture cameras. with this system, you don t need any of that. you can just track all the way down to finger level detail, just using camera movements, wearing the outfit you re wearing at your own convenience. usually, the team here would be capturing proper models, but today my body is being motion tracked. action cams check. gaffer tape check. 0ne truly awkward feeling click presenter check. and we are good to do some motion capture. flex those hips, swing the arms, give me a pose. stop. pose for the cameras. love it. turn around. let s do the same. amazing. strike another pose. this technology in particular keeps the models relevant. you need to capture that human data.
one truly awkward feeling click presenter check. and we are good to do some motion capture. flex those hips, swing the arms, give me a pose. stop. pose for the cameras. love it. turn around. let s do the same. amazing. strike another pose. this technology in particular keeps the models relevant. you need to capture that human data. you need to capture that natural movement. their nuances, their body language, their posture, the amount of gesticulation, the amount of personal space. it gives you a real sense of that person in that space. so even if the avatar doesn t look like you, people can still look at it and be like, that s your walk. that s the way you stand. i know that that s you. it draws you in. it keeps you immersed in that experience and makes it more believable and enjoyable as a consumer. what we ve built on top of the ai are a number of processing engines on top. we have biomechanical rules written into there, so there are kinematic models, holonomic constraints, whic
it draws you in, it keeps you immersed in the experience and makes it more believable and enjoyable, as a consumer. what we ve built on top of the ai are a number of processing engines on top. we have biomechanical rules written into them so there so there are kinematic models, holonomic constraints which are what the human body can do, in terms of how the joints can move. so, for instance, if i bent my elbow like this, you can t bend it past a certain point of extension. rules like that are written into the system. we can work out where your feet are, and when you are moving around the volume, what that allows us to do is basically create a map of the volume and you within it. there are six cameras in this setup, and that is enough to track about five people in this space, although they may bump into each other a bit. but it can be scaled to whatever size you want, and you can choose the resolution. so, for example, if you were to use a football pitch, it could track about 22 people.
of processing engines on top. we have biomechanical rules written into there, so there are kinematic models, holonomic constraints, which are what the human body can do in terms of how the joints can move. so, for instance, if i bend my elbow like this, you can t bend it past a certain point of extension. rules like that are written into the system. we can work out where your feet are when you re moving around the volume. what that allows us to do is basically create a map of the volume and be within it. there are six cameras in this setup, and that s enough to track about five people in this space, although they may bump into each other a bit. but it can be scaled to whatever size you want and you can choose the resolution. so, for example, if you were to use a football pitch, it could track about 22 people. the reason we can scale that up to a full football sized pitch, for instance, is we up the resolution of the camera to say like 12k, and that can be much further away and much hig