Diz Hareketi Izleme Teknolojilerinin Kar sila stirmali Degerlendirmesi

Cemal Fatih Kuyucu, Ugur Ayvaz, Kadir Ozlem, Asli Atalay, Ozgur Atalay, Gokhan Ince

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

Realizing 3D human models digitally is a difficult, yet continually required task. Numerous technologies are utilized to create these models. Due to the variety of technologies used, an evaluation and benchmarking is necessary. This is a comparative study of four such technologies. We compare a wearable textile sensor based motion capture system we designed and implemented to an RGB camera based, depth sensor based, and an inertial measurement unit based motion capture system. The four motion capture systems have been evaluated based on measures such as reliability, ease of use, universality, cost, sensitivity to atmospheric conditions, and flexibility. The preliminary preparations and test conditions for the realization of this comparative study are explained in this paper. Finally, the results of experimentation on one joint have been presented.

Tercüme edilen katkı başlığıComparative Assessment of Knee Motion Monitoring Technologies
Orijinal dilTürkçe
Ana bilgisayar yayını başlığıUBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar155-160
Sayfa sayısı6
ISBN (Elektronik)9781728139647
DOI'lar
Yayın durumuYayınlandı - Eyl 2019
Etkinlik4th International Conference on Computer Science and Engineering, UBMK 2019 - Samsun, Turkey
Süre: 11 Eyl 201915 Eyl 2019

Yayın serisi

AdıUBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering

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???event.eventtypes.event.conference???4th International Conference on Computer Science and Engineering, UBMK 2019
Ülke/BölgeTurkey
ŞehirSamsun
Periyot11/09/1915/09/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Dijital Modelling
  • Joint Motion
  • Mocap
  • Motion Capture
  • Textile Sensor
  • Wearable Sensor

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