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TAP TIMES          -29-                                   AUGUST 2022



                   Smart Socks (from 28)                        process. Removing that calibration step
                                                                would make 3DKnITS easier to use.
        more creative applications. In collabora-
        tion with a sound designer and a contem-                “Smart Shoes” on the horizon
        porary dancer, they developed a smart                   The researchers also want to conduct tests
        textile carpet that drives musical notes                on smart shoes outside the lab to see how
        and soundscapes based on the dancer’s                   environmental conditions like temperature
        steps, to explore the bidirectional relation-           and humidity impact the accuracy of sen-
        ship between music and choreography.                    sors.


        This research was recently presented at                 “It’s always amazing to see technology
        the ACM Creativity and Cognition Confer-                advance in ways that are so meaningful.
        ence.                                                   It is incredible to think that the clothing
                                                                we wear, an arm sleeve or a sock, can be
        Machine learning model                                  created in ways that its three-dimensional
        Now that the researchers have demon-                    structure can be used for sensing,” says
        strated the success of their fabrication                Eric Berkson, assistant professor of ortho-
        technique, Wicaksono plans to refine the                paedic surgery at Harvard Medical School.
        circuit and machine learning model.
                                                                “This technology,” he added, “provides the
        Currently, the model must be calibrated                 ability to better detect and classify motion
        to each individual before it can classify               and to recognize force distribution pat-
        actionstions, which is a time-consuming                 terns in real-world situations.” mit.edu



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