Combining inertial sensors and optical flow to assess finger movements: Pilot study for telehealth applications

Author(s):  
Katherin Zumaeta ◽  
Stefano E. Romero ◽  
Estiven Torres ◽  
Leslie Urdiales ◽  
Andrea Ramirez ◽  
...  
2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Matthew B. Rhudy ◽  
Yu Gu ◽  
Haiyang Chao ◽  
Jason N. Gross

This paper offers a set of novel navigation techniques that rely on the use of inertial sensors and wide-field optical flow information. The aircraft ground velocity and attitude states are estimated with an Unscented Information Filter (UIF) and are evaluated with respect to two sets of experimental flight data collected from an Unmanned Aerial Vehicle (UAV). Two different formulations are proposed, a full state formulation including velocity and attitude and a simplified formulation which assumes that the lateral and vertical velocity of the aircraft are negligible. An additional state is also considered within each formulation to recover the image distance which can be measured using a laser rangefinder. The results demonstrate that the full state formulation is able to estimate the aircraft ground velocity to within 1.3 m/s of a GPS receiver solution used as reference “truth” and regulate attitude angles within 1.4 degrees standard deviation of error for both sets of flight data.


PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0156696 ◽  
Author(s):  
Anne-Gaëlle Le Moing ◽  
Andreea Mihaela Seferian ◽  
Amélie Moraux ◽  
Mélanie Annoussamy ◽  
Eric Dorveaux ◽  
...  

2015 ◽  
Vol 126 (8) ◽  
pp. e135
Author(s):  
A. Köhn ◽  
D. Konrad ◽  
L. Haberbosch ◽  
A. Jooß ◽  
R. Bathe-Peters ◽  
...  
Keyword(s):  

2016 ◽  
Vol 70 (2) ◽  
pp. 325-341 ◽  
Author(s):  
Pin Lyu ◽  
Jizhou Lai ◽  
Hugh H.T. Liu ◽  
Jianye Liu ◽  
Wenjing Chen

In this paper, a fault-tolerant velocity estimation method is proposed for quadrotors in a GPS denied environment. A novel filter is developed in light of the quadrotor model and measurements from optical flow and inertial sensors. The proposed filter is capable of detecting and isolating the optical flow sensor faults, by which the velocity estimation accuracy and stability will be improved. It is also demonstrated that the wind velocity is observable in the proposed filter. Therefore, the new filter can also be implemented in a windy environment, which is a significant improvement to the previous model-aided inertial sensor estimator. At the end, some simulations are carried out to verify the advantages of our method.


Proceedings ◽  
2020 ◽  
Vol 49 (1) ◽  
pp. 18
Author(s):  
Alessandro Volpe ◽  
Giuseppe Marcolin ◽  
Giuseppe Fedele ◽  
Silvano Zanuso ◽  
Gabriele De Bettio ◽  
...  

The aim of the study was to compare the power output during indoor sprints on a SKILLRUNTM treadmill with the power output expressed in outdoor sprints pushing an instrumented sled. The SKILLRUNTM has been chosen because it is able to simulate the outdoor sprint pushing a sled setting different loads and providing performance output data like speed and power. Two athletes were involved in this pilot study and were asked to perform indoor and outdoor sprints with the same overloads. Two dynamometric handles were designed and applied both on the treadmill for the indoor sprints and on the sled for the outdoor sprints. Power data were calculated throughout the force measured at the handles and the speed collected during the sprints. Kinematics data of trunk and lower limbs were also calculated by means of a set of inertial sensors (Xsens, Enschede, The Netherlands). The power–speed and the load–speed curves together with the kinematics results derived from the indoor and outdoor tests were compared, showing, in general, a good agreement between the indoor and outdoor conditions. These results highlighted the validity of the SKILLRUNTM treadmill in simulating a sprint with overloads.


2019 ◽  
Vol 19 (22) ◽  
pp. 10773-10781 ◽  
Author(s):  
Chenxi Yang ◽  
Clarel Antoine ◽  
Bruce K. Young ◽  
Negar Tavassolian

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Victor H. Rodriguez ◽  
Carlos T. Medrano ◽  
Inmaculada Plaza

Mindfulness techniques are useful tools in health and well-being. To improve and facilitate formal training, beginners need to know if they are in a stable sitting posture and if they can hold it. Previous monitoring studies did not consider stability during sitting meditation or were specific for longer traditional practices. In this paper, we have extended and adapted previous studies to modern mindfulness practices and posed two questions: (a) Which is the best meditation seat for short sessions? In this way, the applications of stability measures are expanded to meditation activities, in which the sitting posture favors stability, and (b) Which is the most sensitive location of an accelerometer to measure body motion during short meditation sessions? A pilot study involving 31 volunteers was conducted using inertial sensors. The results suggest that thumb, head, or infraclavicular locations can be chosen to measure stability despite the habitual lumbar or sacral region found in the literature. Another important finding of this study is that zafus, chairs, and meditation benches are suitable for short meditation sessions in a sitting posture, although the zafu seems to allow for fewer postural changes. This finding opens new opportunities to design very simple and comfortable measuring systems.


2007 ◽  
Vol 40 (15) ◽  
pp. 209-214 ◽  
Author(s):  
Hugo Romero ◽  
Sergio Salazar ◽  
Rogelio Lozano ◽  
Ryad Benosman

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