- 视频
- 图片
- 面部情感互动装置
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原创 临时 2019-12-05
研究项目 Research Project
展览 Exhibition:B-pro Show 2014、Kinetica Art Fair 2014、Cinekid Festival 2016
时间 Year:2014
开发于 Developed in: Interactive Architecture Lab, The Bartlett, UCL
研究者 Researcher: Lin (Charlie) Zhang, Ran Xie
导师 Supervisors: Ruairi Glynn, Dr Chris Leung & William Bondin
Eye Catcher旨在开发具有表现力并有效的交互界面,通过一系列实验、摄影和物理原型,研究了眼睛(和眼睛类)刺激对参与者的原始互动反应,使用工业机器人和高吸力磁铁的组合,“让视线拥有轨迹,平凡物体被重新定义”。
Eye Catcher aims to develop an expressive, novel and effective interactive interface. Through a series of experimental films, photography and physical prototypes,the primitive effects of eye (and eye-like) stimuli have been investigated. Using a combination of industrial robotics and high powermagnets, a seemingly inconspicuous frame on a wall, magically comes to life.
该界面使用的定制情感识别算法,不仅可以读取观众面部表情,并能反向触发由铁磁流体形成的眼睛类动态模拟反馈。让看似不起眼的相框具有感知眼神的能力,参观者只需轻松一瞥,相框便可神奇地在墙面自由移动。
The interface uses a custom emotion recognition algorithm that not only reads the facial expressions of the participants, but also triggers ferrofluid to offer dynamic feedback.
工业机器人和高吸力磁铁的组合,让墙上看似不显眼的相框,神奇的在墙面自由移动。通过一系列实验,摄影和物理原型,项目研究了眼睛(和眼睛类)刺激对参与者的原始互动反应。
Using a combination of industrial robotics and high power magnets, a seemingly inconspicuous frame on a wall, magically comes to life. Through a series of experimental films, photography and physical prototypes, the primitive effects of eye (and eye-like) stimuli have been investigated.
Eye Catcher旨在开发了一种具有表现力并有效的交互界面,该界面使用定制的情感识别算法读取观众面部表情并且反过来触发由铁磁流体形成的眼睛类动态模拟反馈。
The Eye Catcher project in its conclusion has developed a novel expressive interface where emotion recognition algorithms read audience faces and in-turn trigger the animation of a face formed of ferrofluid.
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