| 1. |
- Keyvani, Ali, 1978, et al.
(författare)
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Considerations for aggregation of motion-captured files in structured databases for DHM applications
- 2013
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Ingår i: DHM 2013, Second International Digital Human Modeling Symposium.
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Konferensbidrag (refereegranskat)abstract
- One way of enhancing motion simulation in digital human modeling (DHM) tools is to use data-driven methods which are based on real motion data. In spite of the availability of motion captured datasets which are offered for different purposes by commercial and research institutes, aggregation and integration of these motions in a unified and structured database system is not straight forward. Lack of this integration, limits the availability of existing data and causes DHM tools not to be able to use the data efficiently. Also for the researchers, comparison and analysis of data get very hard if not impossible. When searching for a specific motion pattern, it is optimal if the stored data in the database can be directly compared, analyzed and then retrieved if necessary. This study highlights several sources of incompatibility among motion capture files which shall be considered when implementing a comprehensive data management system for manipulating motion captured data. Subsequently, these incompatibilities are analyzed in more detail and necessary considerations and possible solutions are proposed in order to overcome the integration obstacles.
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| 2. |
- Keyvani, Ali, 1978-, et al.
(författare)
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Schema for Motion Capture Data Management
- 2011
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Ingår i: Lecture Notes in Computer Science. 3rd International Conference on Digital Human Modeling, ICDHM 2011. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 1611-3349 .- 0302-9743. - 9783642217982 ; , s. 99-108
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Konferensbidrag (refereegranskat)abstract
- A unified database platform capable of storing both motion captured data and information about these motions (metadata) is described. The platform stores large motion captured data in order to be used by different applications for searching, comparing, analyzing and updating existing motions. The platform is intended to be used to choose a realistic motion in simulation of production lines. It is capable of supporting and handling different motion formats, various skeleton types and distinctive body regions in a uniform data model. Extended annotating system is also introduced to mark the captured data not only in the time domain (temporal) but also on different body regions (spatial). To utilize the platform, sample tests are performed to prove the functionality. Several motion captured data is uploaded to the database while MATLAB is used to access the data, ergonomically analyze the motions based on OWAS standard, and add the results to the database by automatic tagging of the postures.
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| 3. |
- Keyvani, Ali, 1978-, et al.
(författare)
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Using methods-time measurement to connect digital humans and motion databases
- 2013
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Ingår i: Lecture Notes in Computer Science. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 0302-9743 .- 1611-3349. - 9783642391811 ; 8026:Part 2, s. 343-352
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Tidskriftsartikel (refereegranskat)abstract
- To simulate human motions in DHM tools, using techniques which are based on real human data is one promising solution. We have presented a solution in this study to connect motion databases with DHM tools. We have showed that using a motion database with MTM-based annotations is a promising way in order to synthesize natural looking motions. A platform consists of a Motion Database, a Motion Generator, and a DHM tool was introduced and tested. The results showed successful application of the presented platform in the designed test case. © 2013 Springer-Verlag.
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