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AI and the human body: Hidden assumptions in motion capture can have serious impact

AI and the human body: Hidden assumptions in motion capture can have serious impact
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Nicole Smith , Emma Harvey , Abigail Jacobs , Um School Of Information , Validation In Motion Capture Technology , Um School , Social Practices , Motion Capture Technology ,

New research examines how assumptions affect

<p>Motion capture technology has applications in a wide range of fields, including entertainment, medicine, and sports, to name a few. But what if the measurements these systems were based on were rooted in social practices and biased assumptions, leading to errors that become ingrained over time? This question is at the heart of&nbsp;<a href="https://arxiv.org/abs/2401.10877">new research</a>&nbsp;co-authored by&nbsp;<a href="https://datascience.virginia.edu/people/mona-sloane">Mona Sloane</a>, an assistant professor of data science and media studies at the University of Virginia.&nbsp;</p>
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Cornell School , United States , Hauke Sandhaus , Emma Harvey , Emanuel Moss , Mona Sloane , Abigal Jacobs , University School Of Data Science , University Of Michigan , Association Of Computing Machinery , Sloane Lab , University Of Virginia , Validation In Motion Capture Technology , Us Air , Department Of Media , Cornell School Of Information Science , University Of Notre Dame , Intel Labs , Information Science , Cornell Tech , Computing Machinery , Data Science , Social Practices , Motion Capture ,