Considerations on Human Arm Workspace and Manipulability

Dynamic projection mapping for a moving object according to its position and shape is fundamental for augmented reality to resemble changes on a target surface. For instance, augmenting the human arm surface via dynamic projection mapping can enhance applications in fashion, user interfaces, prototyping, education, medical assistance, and other fields. For such applications, however, conventional methods neglect skin deformation and have a high latency between motion and projection, causing noticeable misalignment between the target arm surface and projected images. These problems degrade the user experience and limit the development of more applications. We propose a system for high-speed dynamic projection mapping onto a rapidly moving human arm with realistic skin deformation. With the developed system, the user does not perceive any misalignment between the arm surface and projected images. First, we combine a state-of-the-art parametric deformable surface model with efficient regression-based accuracy compensation to represent skin deformation. Through compensation, we modify the texture coordinates to achieve fast and accurate image generation for projection mapping based on joint tracking. Second, we develop a high-speed system that provides a latency between motion and projection below 10 ms, which is generally imperceptible by human vision. Compared with conventional methods, the proposed system provides more realistic experiences and increases the applicability of dynamic projection mapping.

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BIOMIMETIC DESIGN OF LOW STIFFNESS ACTUATOR SYSTEMS FOR PROSTHETIC LIMBS

Proceedings of the Canadian Engineering Education Association (CEEA) ◽

10.24908/pceea.v0i0.4030 ◽

2011 ◽

Author(s):

D. L. Russell ◽

M. McTavish

Keyword(s):

Mechanical Properties ◽

Degrees Of Freedom ◽

Analytical Techniques ◽

Energetic Costs ◽

Multiple Degrees Of Freedom ◽

Prosthetic Limbs ◽

Limb Stiffness ◽

Human Arm ◽

Biomimetic Approach ◽

Low Stiffness

The various relationships that are possible between the mechanical properties of single actuators and the overall mechanism (in this case a human arm with or without a prosthetic elbow) are discussed. Graphical and analytical techniques for describing the range of overall limb stiffnesses that are achievable and for characterizing the overall limb stiffness have been developed. Using a biomimetic approach and, considering energetic costs, stability and complexity, the implications of choosing passive or active implementations of stiffness are discussed. These techniques and approaches are particularly applicable with redundant (agonist - antagonist) actuators and multiple degrees of freedom. Finally, a novel biomimetic approach for control is proposed.

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Combination of reinforcement learning and bee algorithm for controlling two-link arm with six muscle: simplified human arm model in the horizontal plane

Physical and Engineering Sciences in Medicine ◽

10.1007/s13246-019-00828-4 ◽

2019 ◽

Vol 43 (1) ◽

pp. 135-142

Author(s):

Fereidoun Nowshiravan Rahatabad ◽

Parisa Rangraz

Keyword(s):

Reinforcement Learning ◽

Horizontal Plane ◽

Bee Algorithm ◽

Human Arm

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Wave propagation with HBC in a human arm model

2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA) ◽

10.1109/memea.2017.7985918 ◽

2017 ◽

Cited By ~ 2

Author(s):

Doaa Ahmed ◽

Jens Kirchner ◽

Georg Fischer

Keyword(s):

Wave Propagation ◽

Human Arm

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The Movement- and Load-Dependent Differences in the EMG Patterns of the Human Arm Muscles during Two-Joint Movements (A Preliminary Study)

Frontiers in Physiology ◽

10.3389/fphys.2016.00218 ◽

2016 ◽

Vol 7 ◽

Cited By ~ 8

Author(s):

Tomasz Tomiak ◽

Tetiana I. Abramovych ◽

Andriy V. Gorkovenko ◽

Inna V. Vereshchaka ◽

Viktor S. Mishchenko ◽

...

Keyword(s):

Human Arm ◽

Arm Muscles ◽

Preliminary Study ◽

Emg Patterns

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