DOE OSTI · 2589105
Using AI tools to analyze periodic phenomena
Abstract
Here, in this report, we describe how students can use natural language to prompt ChatGPT to conduct the analysis of complex periodic acceleration data collected using their smartphones. Students may use this approach to characterize human physiological tremor frequency. Students can choose to use their own data, or, for privacy purposes, use an anonymized set of data provided to them.
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Klay, Jennifer L. [California Polytechnic State Univ. (CalPoly), San Luis Obispo, CA (United States)] (ORCID:0000000255920758), Pinski, Adia [California Polytechnic State Univ. (CalPoly), San Luis Obispo, CA (United States)] (ORCID:0009000547767641), Schackel, Kelly [California Polytechnic State Univ. (CalPoly), San Luis Obispo, CA (United States)], Sieger, Zane [California Polytechnic State Univ. (CalPoly), San Luis Obispo, CA (United States)], Simpson, Isabella [California Polytechnic State Univ. (CalPoly), San Luis Obispo, CA (United States)] (ORCID:0009000307899725), Walas, Maxine [California Polytechnic State Univ. (CalPoly), San Luis Obispo, CA (United States)], Rakestraw, David [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:000000028205455X). 2025-04-01. Using AI tools to analyze periodic phenomena. https://doi.org/10.1119/5.0263636
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