There many ways of accessing the mood of people without the use of language. Often the posture and movement of a person is all you need to tell wether they're feeling on top of the world or down in the dumps.
With this project we intend to use software to essentially measure the type of mood a person is in, by taking factors like stance and arm position into consideration. We then want to influence this for the better, and see what kind of impact we can have on the individual and a city as a whole.
For us, we can easily judge how someones feeling just by body language, it's human nature. However it is a little more complex when it comes to commuters as they have no intuition when it comes to human interaction. Therefore we have to program me it with certain patterns and shapes that someone in a particular mood would make.
For example a person with positive body language, in a good mood, might make a power stance with their arms in the air out wide, almost in celebration.
Mick Jagger did this……. a lot.
This kind of body language could be rewarded by positive imagery or audio, or alternatively, produce this kind of pleasant visual and acoustic art that would be a result of the persons participation. This effect could be huge if it could somehow affect the persons body language after they had interacted with the project, as they may carry that into the rest of their day. If everyone walked away from it with a more friendly and open energy it could influence others around them.
A kind of domino effect like this could have a massively positive impact on the city as a whole, and not just the individual that partakes in our project.
At the moment there are multiple types of software and methods that try to analyze people mood and access how they're feeling based on body language alone. Using things like webcam to track movement and pre-programmed actions.
A chart of positive / negative body language
An example is Antonio Camurri of the University of Genoa in Italy. He and his colleagues have built a system which uses the depth-sensing, motion-capture camera in Microsoft’s Kinect to determine the emotion conveyed by a person’s body movements. Using computers to capture emotions has been done before, but typically focuses on facial analysis or voice recording. Reading someone’s emotional state from the way they walk across a room, or their posture at that time.
The system uses the Kinect camera to build a stick figure representation of a person that includes information on how their head, torso, hands and shoulders are moving. Software looks for body positions and movements widely recognised in psychology as indicative of certain emotional states.
Below is a link to an article on Antonio and the University's achievement.
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