Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis
The double pendulum is a system that manifests fascinating non-linear behavior. This made it a popular tool in academic settings for illustrating the intricate response of a seemingly simple physical apparatus, or to validate tools for studying nonlinear phenomena. In addition, the double pendulum i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-10-01
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| Series: | HardwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S246806722030047X |
| _version_ | 1818644702600101888 |
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| author | Audun D. Myers Joshua R. Tempelman David Petrushenko Firas A. Khasawneh |
| author_facet | Audun D. Myers Joshua R. Tempelman David Petrushenko Firas A. Khasawneh |
| author_sort | Audun D. Myers |
| collection | DOAJ |
| description | The double pendulum is a system that manifests fascinating non-linear behavior. This made it a popular tool in academic settings for illustrating the intricate response of a seemingly simple physical apparatus, or to validate tools for studying nonlinear phenomena. In addition, the double pendulum is also widely used in several modeling applications including robotics and human locomotion analysis. However, surprisingly, there is a lack of a thoroughly documented hardware that enables designing, building, and reliably tracking and collecting data from a double pendulum.This paper provides comprehensive documentation of a research quality bench top double pendulum. The contributions of our work include (1) providing detailed CAD drawings, part lists, and assembly instructions for building a low friction double pendulum. (2) A new tracking algorithm written in Python for tracking the position of both links of the double pendulum. This algorithm measures the angles of the links by examining each frame, and computes uncertainties in the measured angles by following several trackers on each link. Additionally, our tracking algorithm bypasses the data transmission difficulties caused by instrumenting the bottom link with physical sensors. (3) A derivation of the equations of motion of the actual physical system. (4) A description of the process (with provided Python code) for extracting the model parameters—e.g., damping—with error bounds from physical measurements. |
| first_indexed | 2024-12-17T00:19:03Z |
| format | Article |
| id | doaj.art-52242a79ad7247619714aa10f561b158 |
| institution | Directory Open Access Journal |
| issn | 2468-0672 |
| language | English |
| last_indexed | 2024-12-17T00:19:03Z |
| publishDate | 2020-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | HardwareX |
| spelling | doaj.art-52242a79ad7247619714aa10f561b1582022-12-21T22:10:37ZengElsevierHardwareX2468-06722020-10-018e00138Low-cost double pendulum for high-quality data collection with open-source video tracking and analysisAudun D. Myers0Joshua R. Tempelman1David Petrushenko2Firas A. Khasawneh3Department of Mechanical Engineering at Michigan State University, Department of Mechanical Engineering at Virginia Tech, United StatesDepartment of Mechanical Engineering at Michigan State University, Department of Mechanical Engineering at Virginia Tech, United StatesDepartment of Mechanical Engineering at Michigan State University, Department of Mechanical Engineering at Virginia Tech, United StatesCorresponding author.; Department of Mechanical Engineering at Michigan State University, Department of Mechanical Engineering at Virginia Tech, United StatesThe double pendulum is a system that manifests fascinating non-linear behavior. This made it a popular tool in academic settings for illustrating the intricate response of a seemingly simple physical apparatus, or to validate tools for studying nonlinear phenomena. In addition, the double pendulum is also widely used in several modeling applications including robotics and human locomotion analysis. However, surprisingly, there is a lack of a thoroughly documented hardware that enables designing, building, and reliably tracking and collecting data from a double pendulum.This paper provides comprehensive documentation of a research quality bench top double pendulum. The contributions of our work include (1) providing detailed CAD drawings, part lists, and assembly instructions for building a low friction double pendulum. (2) A new tracking algorithm written in Python for tracking the position of both links of the double pendulum. This algorithm measures the angles of the links by examining each frame, and computes uncertainties in the measured angles by following several trackers on each link. Additionally, our tracking algorithm bypasses the data transmission difficulties caused by instrumenting the bottom link with physical sensors. (3) A derivation of the equations of motion of the actual physical system. (4) A description of the process (with provided Python code) for extracting the model parameters—e.g., damping—with error bounds from physical measurements.http://www.sciencedirect.com/science/article/pii/S246806722030047XDouble pendulumPendulumTrackingOcclusions |
| spellingShingle | Audun D. Myers Joshua R. Tempelman David Petrushenko Firas A. Khasawneh Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis HardwareX Double pendulum Pendulum Tracking Occlusions |
| title | Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis |
| title_full | Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis |
| title_fullStr | Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis |
| title_full_unstemmed | Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis |
| title_short | Low-cost double pendulum for high-quality data collection with open-source video tracking and analysis |
| title_sort | low cost double pendulum for high quality data collection with open source video tracking and analysis |
| topic | Double pendulum Pendulum Tracking Occlusions |
| url | http://www.sciencedirect.com/science/article/pii/S246806722030047X |
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