In-World Interface for Generated Avatar Movements

用于生成头像运动的世界界面

• 批准号: 518062-2017
• 负责人: Lantin, Maria
• 金额: $ 1.82万
• 依托单位: Emily Carr University of Art + Design
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=641539
• 关键词: World; Interface; Generated; Avatar; Movements

Emily Carr University of Art + Design is partnering with Anomotion Interactive Inc. to design an interaction method for the creation and chaining of movement sequences in a virtual reality (VR) environment.Anomotion has created a system for chaining movement sequences in a game. These sequences, recorded manually or using motion capture technology, can be chained using a machine learning algorithm which bridges movements between sequences -- for example when writing on one part of the white board to another, then sitting down. When several motion sequences are chained, a game scene can be acted by an avatar, in real-time, with fewer movement artifacts that might bring a game user out of immersion.Emily Carr University will work with Anomotion to create a movement and voice interface for the recording of movement sequences and the creation of movement sequence chains. This interface will be used in a virtual reality (VR) environment and will make use of intuitive gestures and voice commands to trigger movements ("write on the white board, here") and chaining (", then tie your shoe"). Other commands will edit the sequences (insert, delete, lengthen) and create new movements through mimicry or puppeteering. This new interface will serve multiple functions, including quick recording of game cut scenes and testing of potential in-game scenarios.The interface will be designed for the Unreal Engine and the HTC Vive virtual reality headset. As much as possible, modular coding practices will be used to ensure future porting of the interface to other platforms.

艾米丽卡尔艺术与设计大学与Anomotion互动公司合作。设计一种用于在虚拟现实（VR）环境中创建和链接运动序列的交互方法。Anomotion已经创建了一个用于在游戏中链接运动序列的系统。这些序列，手动记录或使用动作捕捉技术，可以使用机器学习算法链接，该算法在序列之间连接移动-例如，当在白色板的一部分上写到另一部分时，然后坐下来。当几个动作序列被链接时，游戏场景可以由化身实时地行动，并且可能使游戏用户脱离沉浸感的运动伪像更少。艾米丽卡尔大学将与Anomotion合作创建运动和语音界面，用于记录运动序列和创建运动序列链。该界面将用于虚拟现实（VR）环境，并将利用直观的手势和语音命令来触发动作（“在白色板上写字，在这里”）和链接（“然后系鞋带”）。其他命令将编辑序列（插入，删除，延长），并通过模仿或操纵木偶创建新的运动。这个新界面将提供多种功能，包括快速录制游戏过场动画和测试潜在的游戏场景。该界面将专为虚幻引擎和HTC Vive虚拟现实耳机设计。将尽可能使用模块化编码做法，以确保将来将接口移植到其他平台。