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HANDiMATE : = Digital Puppeteering Using a Hand Depth Sensor for Animation.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
HANDiMATE :/
其他題名:
Digital Puppeteering Using a Hand Depth Sensor for Animation.
作者:
Aiken, Alexus.
面頁冊數:
1 online resource (54 pages)
附註:
Source: Masters Abstracts International, Volume: 84-02.
Contained By:
Masters Abstracts International84-02.
標題:
Performing arts. -
電子資源:
click for full text (PQDT)
ISBN:
9798837516658
HANDiMATE : = Digital Puppeteering Using a Hand Depth Sensor for Animation.
Aiken, Alexus.
HANDiMATE :
Digital Puppeteering Using a Hand Depth Sensor for Animation. - 1 online resource (54 pages)
Source: Masters Abstracts International, Volume: 84-02.
Thesis (M.S.)--Drexel University, 2022.
Includes bibliographical references
This project seeks to identify an effective animation input method that is more intuitive, quicker, and less expensive than the industry-standard 3D animation input methods. The HANDiMATE input method was innovated using Unreal Engine and a leap motion sensor to act as a minimal viable product as a hand depth sensor-driven character animation input method. This study found that the advantages of HANDiMATE outweighed the disadvantages, according to participants. 93% percent of participants believed HANDiMATE could be a useful tool for creating character animations quickly with a portion of those participants citing minor to significant changes to make HANDiMATE more viable. Furthermore, many participants enjoyed the process of using HANDiMATE and many felt encouraged to practice using the input method to get better. The results show that a hand depth sensor-based animation input for character animation could be a substitution for current input methods with the right tools and practice using the input method.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798837516658Subjects--Topical Terms:
556749
Performing arts.
Subjects--Index Terms:
AnimationIndex Terms--Genre/Form:
554714
Electronic books.
HANDiMATE : = Digital Puppeteering Using a Hand Depth Sensor for Animation.
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Includes bibliographical references
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This project seeks to identify an effective animation input method that is more intuitive, quicker, and less expensive than the industry-standard 3D animation input methods. The HANDiMATE input method was innovated using Unreal Engine and a leap motion sensor to act as a minimal viable product as a hand depth sensor-driven character animation input method. This study found that the advantages of HANDiMATE outweighed the disadvantages, according to participants. 93% percent of participants believed HANDiMATE could be a useful tool for creating character animations quickly with a portion of those participants citing minor to significant changes to make HANDiMATE more viable. Furthermore, many participants enjoyed the process of using HANDiMATE and many felt encouraged to practice using the input method to get better. The results show that a hand depth sensor-based animation input for character animation could be a substitution for current input methods with the right tools and practice using the input method.
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