Camera output from Kinect V2
First, let me start by saying that, at this point, I have officially stared at my face for far longer than I am comfortable with today. In part, because I cannot get over the incredible new face effects on Snapchat but mainly because I have been extensively working with examples in Processing for the Kinect. At this point, I’ve come to conclude two things: 1. I will be facing more hurdles than I had hoped, and 2. my “good side” has a very narrow range (see image above).
In all seriousness, I’m loving the examples included with Thomas Lengeling’s KinectPV2 library. I am embarking on a project for my Art Thesis I course which involves an interactive installation which will allow the viewers/participants to interact with a set Dazzle Pattern (yes, the one used in World War II and on my first Art Thesis I project) that is overlaid over their bodies, room, objects, etc. My hope is that I can track the participants and have the Dazzle pattern follow their movements as well as any objects which are moving or otherwise displaced. Should not be much of a challenge – especially considering the number of masking examples provided in KinectPV2’s library.
If that goes well, I want to expand the concept to take advantage of one of the Kinect’s most interesting features: gesture recognition. In my research, I have found a number of attempts at gesture recognition using Processing. Blobscanner seems to be a popular library for such actions but I am curious how I can expand the works further to recognize when a participant is making a “hand gun” gesture with their left or right hand.
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I am limited here by two factors: 1) gesture recognition involving exact digit placement is still relatively complicated – especially in Processing. 2) Methods I have discovered which could be applied to this goal will not work (at all or well) when the number of participants surpasses two. Not exactly ideal for presenting to a large body of gallery viewers or students in a critique. For this reason, I am focusing foremost on the pattern mapping and will, time permitting, explore gesture recognition.
Another library I am very excited to explore – and one which has myriad applications far beyond Kinect – is everyone’s favorite OpenCV. Just looking at some of the uses, I can already imagine myself expanding some initial concepts to newer heights through this library coupled with KinectPV2.
More to come soon.
