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Data fusion of multiple kinect sensors for a rehabilitation system
Du HB(杜惠斌); Zhao YW(赵忆文); Han JD(韩建达); Wang Z(王争); Song GL(宋国立)
Department机器人学研究室
Conference Name2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC)
Conference DateAugest 16-20, 2016
Conference PlaceOrlando, FL, USA
Source Publication2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC)
PublisherIEEE
Publication PlaceNew York
2016
Pages4869-4872
Indexed ByEI ; CPCI(ISTP)
EI Accession number20170303247251
WOS IDWOS:000399823505055
Contribution Rank1
ISSN1558-4615
ISBN978-1-4577-0219-8
AbstractKinect-like depth sensors have been widely used in rehabilitation systems. However, single depth sensor processes limb-blocking, data loss or data error poorly, making it less reliable. This paper focus on using two Kinect sensors and data fusion method to solve these problems. First, two Kinect sensors capture the motion data of the healthy arm of the hemiplegic patient; Second, merge the data using the method of Set-Membership-Filter (SMF); Then, mirror this motion data by the Middle-Plane; In the end, control the wearable robotic arm driving the patient's paralytic arm so that the patient can interactively and initiatively complete a variety of recovery actions prompted by computer with 3D animation games.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19548
Collection机器人学研究室
Corresponding AuthorDu HB(杜惠斌)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences (CAS), Liaoning, China
2.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Du HB,Zhao YW,Han JD,et al. Data fusion of multiple kinect sensors for a rehabilitation system[C]. New York:IEEE,2016:4869-4872.
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