Science & Technology Review
|
2017, 35(16): 20-25
• Special lssues •
Healthcare big data and the precise medication for rare diseases
Full
WU Zhihui1, WANG Fei1, JIANG Zhaoyun1, MIN Haowei1, WANG Xinwei1, GONG Mengchun2, SHI Wenzhao1
Affiliations
1. Digital China Health Technologies Corporation, Beijing 100080, China;
2. Central Laboratories, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
Published: 2017-08-28
doi: 10.3981/j.issn.1000-7857.2017.16.002
Outline
The rapid development of the ubiquitous computing and wearable devices witnesses a new challenge in the natural hand gesture recognition:to free the users from the constraints of the environment and the devices and help the users interact with the environment in a natural and effective way. And the mid-air gesture recognition is one of the effective methods, capable of dealing with the challenge. This paper describes the definition of the mid-air gesture at first, and then analyzes and summarizes the existing hand gesture recognition methods, based on the computer vision, the ultrasonic signal and the electromagnetic wave. At last, this paper discusses the applications of the mid-air gesture recognition, some open questions and the development in the future.
big data
/
rare disease
/
precision medication
武志慧, 王飞, 姜召芸, 闵浩巍, 王心慰, 弓孟春, 史文钊.
健康医疗大数据与罕见病的精准用药.
科技导报,
2017
, 35
(16)
: 20
-25
.
DOI: 10.3981/j.issn.1000-7857.2017.16.002
WU Zhihui, WANG Fei, JIANG Zhaoyun, MIN Haowei, WANG Xinwei, GONG Mengchun, SHI Wenzhao.
Healthcare big data and the precise medication for rare diseases[J].
Science & Technology Review,
2017
, 35
(16)
: 20
-25
.
DOI: 10.3981/j.issn.1000-7857.2017.16.002
Year 2017 volume 35 Issue 16
PDF
536
178
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2017.16.002
- Receive Date:2017-06-20
- Online Date:2017-08-26
- Published:2017-08-28