qtc-toolbox

A toolbox for QTC_c computations

QTC representation

• A QTC_c sequence is represented as a matrix
  • with 4 columns indicating QTC elements (human-dist, robot-dist, human-side, robot-side)
  • with as many rows as the sequence has states
  • two successively occurring same states should be collapsed into one
• a set of QTC_c sequences is represented as a one-dimensional cell array of QTC sequences

Existing functions

• qtc2case converts a given QTC sequence matrix into a one-dimensional stream of case identifiers (numbered 1-49)
• qtc2hmm computes the transition probabilities of a set of QTC sequences to form a Markov model with added start and end states. Uses the standard Matlab HMM functions.
• qtcDist computes the QTC edit distance between either all pairs in a set (when invoked with one arg) or two explicitly given sequences
• qtcMarkovDot create a visualisation in GraphViz of the transition probablilities
• qtcSeqDecode can compute the likelihood of a given sequence allowing for automatic classification

Some useful case:

plot

% create without pseudo state transitions (useful for plotting)
hmm=qtc2hmm(overtake_ns,0.0)
qtcMarkovDot(hmm)
! dot -Tps tmp.dot > out.ps

classifiy

% create with pseudo transitions
hmm=qtc2hmm(overtake_ns)
% compute the likelihood for a given sequnce:
qtcSeqDecode(hmm,overtake_s{4})