A distributed-commonsensical approach for human activity recognition is proposed.
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The approach relies on video and sensor analysis enriched with common sense.
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Sequences of spatio-temporal actions are interpreted as causal explanations.
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Parallel causal explanations are tracked although just one is eventually considered.
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