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Gait Analysis
| Content Provider | TeachEngineering: STEM curriculum for K-12 |
|---|---|
| Author | Scheffler, Jeremy Sandall, Brian |
| Copyright Year | 2015 |
| Description | In this open-ended, hands-on activity that provides practice in engineering data analysis, students are given gait signature metric (GSM) data for known people types (adults and children). Working in teams, they analyze the data and develop models that they believe represent the data. In this open-ended, hands-on activity that provides practice in engineering data analysis, students are given gait signature metric (GSM) data for known people types (adults and children). Working in teams, they analyze the data and develop models that they believe represent the data. They test their models against similar, but unknown (to the students) data to see how accurate their models are in predicting adult vs. child human subjects given known GSM data. They manipulate and graph data in Excel® to conduct their analyses. |
| Language | English |
| Access Restriction | Open |
| Rights Holder | Board of Regents, University of Nebraska Regents of The University of Colorado |
| Subject Keyword | Data Analysis and Probability Problem Solving Medical Data Analysis Patterns Human Body Variability Dynamicity Graphing Symmetry Accelerometer Engineering Analysis |
| Content Type | Text |
| Time Required | PT1H |
| Education Level | Class XI Class XII |
| Pedagogy | Experimental Activity |
| Resource Type | Hands-on |
| Subject | Probability |
