The way you walk says a lot about how you’re feeling at any given moment. When you’re downtrodden or depressed, for example, you’re more likely to slump your shoulders than when you’re contented or upset. Leveraging this somatic lexicon, researchers at the University of Chapel Hill and the University of Maryland recently investigated a machine learningmethod that can identify a person’s perceived emotion, valence (e.g., negative or positive), and arousal (calm or energetic) from their gait alone. The researchers claim this approach — which they believe is the first of its kind — achieved 80.07% percent accuracy in preliminary experiments.
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