| 题名 | Acoustic Strength-based Motion Tracking |
| 作者 | |
| 通讯作者 | Zhang,Qian |
| 发表日期 | 2020-12-17
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| DOI | |
| 发表期刊 | |
| EISSN | 2474-9567
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| 卷号 | 4期号:4 |
| 摘要 | Accurate device motion tracking enables many applications like Virtual Reality (VR) and Augmented Reality (AR). To make these applications available in people's daily life, low-cost acoustic-based motion tracking methods are proposed. However, existing acoustic-based methods are all based on distance estimation these methods measure the distance between a speaker and a microphone. With a speaker or microphone array, it can get multiple estimated distances and further achieve multidimensional motion tracking the weakness of distance-based motion tracking methods is that they need large array size to get accurate results. Some systems even require an array larger than 1 m. This weakness limits the adoption of existing solutions in a single device like a smart speaker. To solve this problem, we propose Acoustic Strength-based Angle Tracking (ASAT) System and further implement a motion tracking system based on ASAT. ASAT achieves angle tracking by creating a periodically changing sound field. A device with a microphone will sense the periodically changing sound strength in the sound field. When the device moves, the period of received sound strength will change. Thus we can derive the angle change and achieve angle tracking the ASAT-based system can obtain the localization accuracy as 5 cm when the distance between the speaker and the microphone is in the range of 3 m. |
| 关键词 | |
| 相关链接 | [Scopus记录] |
| 收录类别 | |
| 语种 | 英语
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| 学校署名 | 第一
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| EI入藏号 | 20205209696402
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| EI主题词 | Motion analysis
; Virtual reality
; Acoustic field measurement
; Augmented reality
; Microphones
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| EI分类号 | Computer Software, Data Handling and Applications:723
; Data Processing and Image Processing:723.2
; Acoustics, Noise. Sound:751
; Acoustic Properties of Materials:751.2
; Acoustic Devices:752.1
; Acoustic Variables Measurements:941.2
|
| Scopus记录号 | 2-s2.0-85098222712
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| 来源库 | Scopus
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| 引用统计 |
被引频次[WOS]:1
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| 成果类型 | 期刊论文 |
| 条目标识符 | http://kc.sustech.edu.cn/handle/2SGJ60CL/210898 |
| 专题 | 工学院_计算机科学与工程系 |
| 作者单位 | 1.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,China 2.Department of Computer Science and Engineering,Hong Kong University of Science and Technology,Hong Kong |
| 第一作者单位 | 计算机科学与工程系 |
| 第一作者的第一单位 | 计算机科学与工程系 |
| 推荐引用方式 GB/T 7714 |
Ge,Linfei,Zhang,Qian,Zhang,Jin,et al. Acoustic Strength-based Motion Tracking[J]. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies,2020,4(4).
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| APA |
Ge,Linfei,Zhang,Qian,Zhang,Jin,&Huang,Qianyi.(2020).Acoustic Strength-based Motion Tracking.Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies,4(4).
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| MLA |
Ge,Linfei,et al."Acoustic Strength-based Motion Tracking".Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4.4(2020).
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| 条目包含的文件 | 条目无相关文件。 | |||||
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