We describe experiments in recognizing a person’s situation from only a wearable camera and microphone. The types of situations considered in these experiments are coarse locations (such as at work, in a subway or in a grocery store) and coarse events (such as in a conversation or walking down a busy street) that would require only global, non-attentional features to distinguish them.
Keywords: contextual computing, peripheral sensing, Hidden Markov Models,
HMM, computer vision, computer audition, wearable computing
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