SocialPulse presents an on-device smartwatch system for detecting diverse social interactions in naturalistic settings, achieving 77.28% self-report confirmation in a 38-person 900-hour deployment and 90.39% accuracy on a 15-second audio model.
2019.Hands-on machine learning with Scikit-Learn and TensorFlow concepts, tools, and techniques to build intelligent systems(2 ed.)
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SocialPulse: On-Device Detection of Social Interactions in Naturalistic Settings Using Smartwatch Multimodal Sensing
SocialPulse presents an on-device smartwatch system for detecting diverse social interactions in naturalistic settings, achieving 77.28% self-report confirmation in a 38-person 900-hour deployment and 90.39% accuracy on a 15-second audio model.