Low-cost respiratory motion tracking system

2008 ◽  
Author(s):  
Mohammed Goryawala ◽  
Misael Del Valle ◽  
Jiali Wang ◽  
James Byrne ◽  
Juan Franquiz ◽  
...  
2018 ◽  
Vol 141 (3) ◽  
Author(s):  
Francesco Paparella ◽  
Satja Sivcev ◽  
Daniel Toal ◽  
John V. Ringwood

The measurement of the motion of a small-scale wave energy device during wave tank tests is important for the evaluation of its response to waves and the assessment of power production. Usually, the motion of a small-scale wave energy converter (WEC) is measured using an optical motion tracking system with high precision and sampling rate. However, the cost for an optical motion tracking system can be considerably high and, therefore, the overall cost for tank testing is increased. This paper proposes a low-cost capture system composed of an inertial measurement unit and ultrasound sensors. The measurements from the ultrasound sensors are combined optimally with the measurements from the inertial measurement unit through an extended Kalman filter (EKF) in order to obtain an accurate estimation of the motion of a WEC.


2015 ◽  
Vol 3 (S1) ◽  
Author(s):  
Hiroyuki Fukuda ◽  
Nobutaka Doba ◽  
Kazushi Numata ◽  
Ayako Takeda ◽  
Yoshiharu Hao ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3312 ◽  
Author(s):  
Muhammad Hassan Khan ◽  
Martin Zöller ◽  
Muhammad Shahid Farid ◽  
Marcin Grzegorzek

Movement analysis of human body parts is momentous in several applications including clinical diagnosis and rehabilitation programs. The objective of this research is to present a low-cost 3D visual tracking system to analyze the movement of various body parts during therapeutic procedures. Specifically, a marker based motion tracking system is proposed in this paper to capture the movement information in home-based rehabilitation. Different color markers are attached to the desired joints’ locations and they are detected and tracked in the video to encode their motion information. The availability of this motion information of different body parts during the therapy can be exploited to achieve more accurate results with better clinical insight, which in turn can help improve the therapeutic decision making. The proposed framework is an automated and inexpensive motion tracking system with execution speed close to real time. The performance of the proposed method is evaluated on a dataset of 10 patients using two challenging matrices that measure the average accuracy by estimating the joints’ locations and rotations. The experimental evaluation and its comparison with the existing state-of-the-art techniques reveals the efficiency of the proposed method.


2020 ◽  
Vol 140 ◽  
pp. 312-319
Author(s):  
Li Zhenzhu ◽  
Li Lu ◽  
Li Zhenzhi ◽  
Li Xuzhi ◽  
Li Yizhi ◽  
...  

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