A Stereometric System for Measuring Human Motion

Author(s):  
M. A. Ayoub ◽  
M. M. Ayoub ◽  
J. D. Ramsey

Although several photogrammetric systems are commercially available, their cost limits the application of photogrammetric human factors studies. This paper describes a relatively low cost system developed at Texas Tech University to be used in connection with biomechanics and human performance studies. A detailed description of the basic theoretical and laboratory investigations of the various parameters which influence the design, construction, and use of the system is presented. The adequacy and accuracy of the system were measured by conducting two verification tests under static and dynamic orientations. Typical acceleration and velocity curves for human hand motion, obtained by the system, are presented.

Technologies ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 63
Author(s):  
Murat Ayvali ◽  
Inge Wickenkamp ◽  
Andrea Ehrmann

Myoelectric signals can be used to control prostheses or exoskeletons as well as robots, i.e., devices assisting the user or replacing a missing part of the body. A typical application of myoelectric prostheses is the human hand. Here, the development of a low-cost myoelectric thumb is described, which can either be used as an additional finger or as prosthesis. Combining 3D printing with inexpensive sensors, electrodes, and electronics, the recent project offers the possibility to produce an individualized myoelectric thumb at significantly lower costs than commercial myoelectric prostheses. Alternatively, a second thumb may be supportive for people with special manual tasks. These possibilities are discussed together with disadvantages of a second thumb and drawbacks of the low-cost solution in terms of mechanical properties and wearing comfort. The study shows that a low-cost customized myoelectric thumb can be produced in this way, but further research on controlling the thumb as well as improving motorization are necessarily to make it fully usable for daily tasks.


Author(s):  
Shramana Ghosh ◽  
Hyosang Moon ◽  
Nina P. Robson

This paper reports the development of a low-cost sensor-based glove device using commercially available components that can be used to obtain position, velocity and acceleration data for individual fingers of the hand. Optical tracking of the human hand and finger motion is a challenging task due to the large number of degrees of freedom (DOFs) packed in a relatively small space. We propose methods to simplify the hand motion capture by utilizing accelerometers and adopting a reduced marker protocol. The preliminary results show that the use of relative position, velocity and acceleration homogeneous transformations enable us in getting improved finger motion data with respect to those obtained from a Vicon system. This data is directly related to contact and curvature constraints between the fingers and the grasped object. Once obtained from the glove, the higher derivative specifications are used in formulating the synthesis task for the design of robotic fingers.


2019 ◽  
Vol 04 (03n04) ◽  
pp. 1942002
Author(s):  
Jui-Te Lin ◽  
Shanglei Liu ◽  
Arielle Lee ◽  
Ryan Broderick ◽  
Garth Jacobsen ◽  
...  

Technological advancements in video equipment and biocompatible materials have enabled improvements in complex surgery through small incisions. The mastery of these laparoscopic surgical techniques is now a requirement for surgeons, however, the necessary skills are not intuitive and require hundreds of practice hours. The current state of surgical education includes animate models, inanimate physical models, and computer-based simulations, the latter of which are limited by cost, accessibility, and a lack of engagement. We propose a novel low-cost training interface that mimics the laparoscopic surgical environment using customized instruments whose movement and control are used as inputs for video games. The system is significantly less expensive than commercial systems and allows users freedom to select and play any game, enabling a take-home system with potential for higher levels of engagement, as well as familiarity and expertise with ambidextrous laparoscopic hand motion. A preliminary study compared performance on FLS (Fundamentals of Laparoscopic Surgery) testing before and after training. For a precision cutting task, groups that trained on a standard simulator or on the new system with either a noninverted or inverted hand-instrument mapping showed statistically significant improvements, warranting further investigation of training with this new system.


2013 ◽  
Vol 61 (2) ◽  
Author(s):  
Ching Yee Yong ◽  
Rubita Sudirman ◽  
Nasrul Humaimi Mahmood ◽  
Kim Mey Chew

This study investigates and acts as a trial clinical outcome for human hand motion and behaviour analysis. It was analysed and accessed the quality of human motion that can be used to differentiate the left and right hand throwing action patterns and also the effect of throwing distance to shoulder pain. It aims to establish how widespread the quality of life effects of human motion especially hands movement. Gyroscope, accelerometer and compass sensors were used to measure the hand movement for a throwing process. 2D and 3D scatter plotting were proposed to represent data in graphical form. An experiment was set up in a laboratory environment with conjunction of analysing human motion. The instruments demonstrate 2D and 3D scatter plot enable distinguish left and right hand throwing action patterns significantly. Distribution of gyroscope data shows that a throwing mechanism for a greater distance may bring greater probability of shoulder injury.


Author(s):  
Jonathan M. Hill ◽  
Majdi Atallah ◽  
Kevin Ball

The availability of low-cost field programmable gate arrays (FPGAs) and wireless technologies provides new opportunities for the development of a wearable computing platform for human performance research. Our goal is a flexible research platform that is configurable for a number of sensor types, provides various options for information processing, and is useful in various simple protocols. This dynamic monitoring device will enable further investigations of the feasibility of use in clinical research and practice settings.


2007 ◽  
Vol 40 (11) ◽  
pp. 53
Author(s):  
BRUCE K. DIXON
Keyword(s):  
Low Cost ◽  

Author(s):  
Ramin Sattari ◽  
Stephan Barcikowski ◽  
Thomas Püster ◽  
Andreas Ostendorf ◽  
Heinz Haferkamp

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3035
Author(s):  
Néstor J. Jarque-Bou ◽  
Joaquín L. Sancho-Bru ◽  
Margarita Vergara

The role of the hand is crucial for the performance of activities of daily living, thereby ensuring a full and autonomous life. Its motion is controlled by a complex musculoskeletal system of approximately 38 muscles. Therefore, measuring and interpreting the muscle activation signals that drive hand motion is of great importance in many scientific domains, such as neuroscience, rehabilitation, physiotherapy, robotics, prosthetics, and biomechanics. Electromyography (EMG) can be used to carry out the neuromuscular characterization, but it is cumbersome because of the complexity of the musculoskeletal system of the forearm and hand. This paper reviews the main studies in which EMG has been applied to characterize the muscle activity of the forearm and hand during activities of daily living, with special attention to muscle synergies, which are thought to be used by the nervous system to simplify the control of the numerous muscles by actuating them in task-relevant subgroups. The state of the art of the current results are presented, which may help to guide and foster progress in many scientific domains. Furthermore, the most important challenges and open issues are identified in order to achieve a better understanding of human hand behavior, improve rehabilitation protocols, more intuitive control of prostheses, and more realistic biomechanical models.


2021 ◽  
Vol 1826 (1) ◽  
pp. 012082
Author(s):  
G F Bassous ◽  
R F Calili ◽  
C R H Barbosa

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