A Motion Capture System for Hand Movement Recognition

Author(s):  
Graciela Rodríguez-Vega ◽  
Dora Aydee Rodríguez-Vega ◽  
Xiomara Penelope Zaldívar-Colado ◽  
Ulises Zaldívar-Colado ◽  
Rafael Castillo-Ortega
Author(s):  
Peter Braido ◽  
Xudong Zhang ◽  
Robert Hefner ◽  
Mark Redden

This study aimed to explore the use of a contemporary motion capture system for measuring in vivo maximum thumb circumduction, and through biomechanical modeling and statistical analysis, to establish a normative database of three-dimensional functional thumb range of motion (ROM) and examine the effects of anthropometry and gender. Twenty-eight (14 males and 14 females) anthropometrically diversified subjects performed maximum voluntary thumb circumductions, as the trajectories of surface markers placed on their thumb landmarks were measured by an opto-electronic motion capture system. Aglobographic representation method determined the best fitting spheres, the center of rotation (COR) expressed in a local coordinate system, and reference axes of thumb circumduction. Thumb ROM was quantified using (1) the cone volume circumscribed by the thumb, and (2) the time-varying included angle with respect to a reference axis, expressed as the joint sinus. Statistical analyses suggest that gender is the most important factor ( p < 0.05) in determining the COR while anthropometry has the most significant effect on the cone volume ( p < 0.0001), but neither affects the joint sinus measures. The results provide valuable data as well as insights for biomechanical modeling of hand movement, ergonomic design of hand-operated controls or devices, and evaluation of thumb impairments or disorders.


Author(s):  
Jonathan Kenneth Sinclair ◽  
Lindsay Bottoms

AbstractRecent epidemiological analyses in fencing have shown that injuries and pain linked specifically to fencing training/competition were evident in 92.8% of fencers. Specifically the prevalence of Achilles tendon pathology has increased substantially in recent years, and males have been identified as being at greater risk of Achilles tendon injury compared to their female counterparts. This study aimed to examine gender differences in Achilles tendon loading during the fencing lunge.Achilles tendon load was obtained from eight male and eight female club level epee fencers using a 3D motion capture system and force platform information as they completed simulated lunges. Independent t-tests were performed on the data to determine whether differences existed.The results show that males were associated with significantly greater Achilles tendon loading rates in comparison to females.This suggests that male fencers may be at greater risk from Achilles tendon pathology as a function of fencing training/ competition.


2006 ◽  
Vol 99 (8) ◽  
pp. 08B312 ◽  
Author(s):  
S. Hashi ◽  
M. Toyoda ◽  
M. Ohya ◽  
Y. Okazaki ◽  
S. Yabukami ◽  
...  

Author(s):  
Unai Zabala ◽  
Igor Rodriguez ◽  
José María Martínez-Otzeta ◽  
Elena Lazkano

AbstractNatural gestures are a desirable feature for a humanoid robot, as they are presumed to elicit a more comfortable interaction in people. With this aim in mind, we present in this paper a system to develop a natural talking gesture generation behavior. A Generative Adversarial Network (GAN) produces novel beat gestures from the data captured from recordings of human talking. The data is obtained without the need for any kind of wearable, as a motion capture system properly estimates the position of the limbs/joints involved in human expressive talking behavior. After testing in a Pepper robot, it is shown that the system is able to generate natural gestures during large talking periods without becoming repetitive. This approach is computationally more demanding than previous work, therefore a comparison is made in order to evaluate the improvements. This comparison is made by calculating some common measures about the end effectors’ trajectories (jerk and path lengths) and complemented by the Fréchet Gesture Distance (FGD) that aims to measure the fidelity of the generated gestures with respect to the provided ones. Results show that the described system is able to learn natural gestures just by observation and improves the one developed with a simpler motion capture system. The quantitative results are sustained by questionnaire based human evaluation.


Author(s):  
Pranav Madhav Kuber ◽  
Ehsan Rashedi

A new forklift backrest has been developed by incorporating adjustability concepts into the design to facilitate comfort to a wide range of users. We have conducted a comparative study between the new and original backrests to assess the effectiveness of design features. Using the phenomenon of restlessness, discomfort of the user was associated with the amount of body movement, where we have used a motion- capture system and a force platform to quantify the individuals’ movement for a wide range of body sizes. Meanwhile, subjective comfort and design feedback were collected using a questionnaire. Our results showed a reduction in the mean torso movement and the maximum center of pressure change of location by 300 and 6 mm, respectively, for the new design. Taking advantage of adjustability feature, the new backrest design exhibited enhanced comfort for longer durations and reduced magnitude of discomfort for a wide range of participants’ body sizes.


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