Title :
Comparing Real-Time Human Motion Capture System Using Inertial Sensors with Microsoft Kinect
Author :
Chengkai Xiang ; Hui Huang Hsu ; Wu Yuin Hwang ; Jianhua Ma
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan
Abstract :
Research in Human-Computer Interaction (HCI) has gained interest in recent years and has fostered new ideas and expectations. There are many kinds of human motion capture methods nowadays. In this paper, we have compared 2 kinds of methods which are the most popular methods in HCI - Microsoft Kinect Sensor and Inertial Sensors. This paper presents a wearable real-time human motion capture system using inertial sensors, and result of our method has been compared with Microsoft Kinect Sensor. Several experiments have been performed to validate the effectiveness of our method.
Keywords :
human computer interaction; image motion analysis; image sensors; inertial systems; wearable computers; HCI; Microsoft Kinect sensor; human-computer interaction; inertial sensors; wearable real-time human motion capture system; Elbow; Joints; Kalman filters; Legged locomotion; Motion segmentation; Sensors; Tracking; HCI; Microsoft Kinect Sensor; inertial sensors; motion tracking;
Conference_Titel :
Ubi-Media Computing and Workshops (UMEDIA), 2014 7th International Conference on
Conference_Location :
Ulaanbaatar
Print_ISBN :
978-1-4799-4267-1
DOI :
10.1109/U-MEDIA.2014.25
