Time Synchronization and Data Fusion for RGB-Depth Cameras and Inertial Sensors in AAL Applications

被引：0
|
作者：
Cippitelli, Enea [1 ]
Gasparrini, Samuele [1 ]
Gambi, Ennio [1 ]
Spinsante, Susanna [1 ]
Wahslen, Jonas [2 ]
Orhan, Ibrahim [2 ]
Lindh, Thomas [2 ]
机构：
[1] Univ Politecn Marche, Dipartimento Ingn Informaz, I-60131 Ancona, Italy
[2] Royal Inst Technol, KTH, Sch Technol & Hlth, SE-10044 Stockholm, Sweden
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW) | 2015年
关键词：
depth camera; inertial sensor; data fusion; synchronization; timed up and go; GO TEST; KINECT; SYSTEM; FALLS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Ambient Assisted Living applications often need to integrate data from multiple sensors, to provide consistent information on the observed phenomena. Data fusion based on samples from several sensors requires accurate time synchronization with sufficient resolution, depending on the sensor sampling frequency. This work presents a technical platform for the efficient and accurate synchronization of the data captured from RGB-Depth cameras and wearable inertial sensors, that can be integrated in AAL solutions. A case study of sensor data fusion for Timed Up and Go test is also presented and discussed.
引用
收藏
页码：265 / 270
页数：6
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