Tracking Technology

Useful links:

[1] To understand the peculiar walk of someone we need to compare all the walking to see families. There are at least 2 models I found. One is magnusson and the other one is the fashionable (but good) Hidden Markov Models. But also check the "Viterbi Algorythm". (For the non mathematicians read just "a concrete exemple" that'll clear things up)

[2] These models recognize hidden patterns in noisy data. HMM has been used to build a new max object made to recognize a choreography or a set of body movement data to let him drive musical performance. Object is called "MnM"

[3] A conceptual text by Erin Manning , Sense Lab, Concordia University, Montreal that problematises gesture mapping - Prosthetics Making Sense: Dancing the Technogenetic Body

[4] A short one-page summary from Benjamin Libet on the half-second gap (readiness potential).

[5] Article by Marc Jeannerod about loss of the self in perception

[6] Posture and expressivity in gesture

The Representing Brain: neural correlates of motor intention and imagery

===== Workshop material

[7] [8] [9] [10] Background on accelerometers.

[11] [12] [13] Background and positioning systems.

[14] Manual/Technical specifications of Kroonde sensor box.

[15] Introduction research Stan Wijnans

V2_Lab tracking systems page

Inition, UK based reseller of tracking technology systems.

Interface Z. Cheap, cool interfaces and sensors of all kind