Rendering articulated figures from examples

2003 ◽  
Author(s):  
T. Darrell
Keyword(s):  
Articulated Figures

Spatial Interaction

1993 ◽  
Author(s):  
Norman I. Badler ◽  
Cary B. Phillips ◽  
Bonnie Lynn Webber
Keyword(s):  
Two Dimensions ◽  
Three Dimensions ◽  
Interactive System ◽  
Input Device ◽  
Direct Manipulation ◽  
Good Correspondence ◽  
Articulated Figures ◽  
Reachable Workspace ◽  
Kinesthetic Feedback ◽  
A Chain

This chapter describes the basic architecture of the Jack interactive system. The primary tools available to the Jack user involve direct manipulation of the displayed objects and figures on the screen. With articulated figures, movement of one part will naturally affect the position of other parts. Constraints are used to specify these relationships, and an inverse kinematics algorithm is used to achieve constraint satisfaction. As a consequence of user actions, certain global postural manipulations of the entire human figure are performed by the system. This chapter presents the direct spatial manipulations offered in Jack and shows how constraints are defined and maintained. One particular application of the body constraints is included: the generation of the reachable workspace of a chain of joints. 3D direct manipulation is a technique for controlling positions and orientations of geometric objects in a 3D environment in a non-numerical, visual way. It uses the visual structure as a handle on a geometric object. Direct manipulation techniques derive their input from pointing devices and provide a good correspondence between the movement of the physical device and the resulting movement of the object that the device controls. This is kinesthetic correspondence. Much research demonstrates the value of kinesthetically appropriate feedback [Bie87, BLP78, Sch83]. An example of this correspondence in a mouse-based translation operation is that if the user moves the mouse to the left, the object moves in such a way that its image on the screen moves to the left as well. The lack of kinesthetic feedback can make a manipulation system very difficult to use, akin to drawing while looking at your hand through a set of inverting mirrors. Providing this correspondence in two dimensions is fairly straightforward, but in three dimensions it is considerably more complicated. The advantage of the direct manipulation paradigm is that it is intuitive: it should always be clear to the user how to move the input device to cause the object to move in a desired direction. It focuses the user’s attention on the object, and gives the user the impression of manipulating the object itself.

scholarly journals Expression of a Real Matrix as a Difference of a Matrix and its Transpose Inverse

2019 ◽  
Vol 11 (1) ◽  
pp. 1-6
Author(s):  
Mil Mascaras ◽  
Jeffrey Uhlmann
Keyword(s):  
Control Theory ◽  
Computational Simulation ◽  
Real Matrix ◽  
Matrix Representations ◽  
Articulated Figures ◽  
The Difference

In this paper we derive a representation of an arbitrary real matrix M as the difference of a real matrix A and the transpose of its inverse. This expression may prove useful for progressing beyond known results for which the appearance of transpose-inverse terms prove to be obstacles, particularly in control theory and related applications such as computational simulation and analysis of matrix representations of articulated figures.

A Review on Human Motion Prediction in Sit to Stand and Lifting Tasks

2016 ◽  
Author(s):  
Erik A. Chumacero-Polanco ◽  
James Yang
Keyword(s):  
Humanoid Robots ◽  
Human Motion ◽  
Motion Prediction ◽  
Articulated Figures ◽  
Sit To Stand ◽  
Human Motion Prediction ◽  
Human Movements ◽  
Standing Up ◽  
Prediction And Simulation ◽  
And Control

Human-like motion prediction and simulation is an important task with many applications in fields such as occupational-biomechanics, ergonomics in industrial engineering, study of biomechanical systems, prevention of musculoskeletal disorders, computer-graphics animation of articulated figures, prosthesis and exoskeletons design as well as design and control of humanoid robots, among others. In an effort to get biomechanical insight in many human movements, extensive work has been conducted over the last decades on human-motion prediction of tasks as: walking, running, jumping, standing from a chair, reaching and lifting. This literature review is focused on the STS motion and the LLM. STS is defined as the process of rising from a chair to standing up position without losing stability balance, it is the most ubiquitous and torque-demanding daily labor and it is closely related to other capabilities of the human body. LLM is defined as the activity of raising a load, generally a box, from a low to a higher position while stability is maintained, this task produces a high number of incidences of low-back pain and injuries in many industrial and domestic activities. In order to predict STS and LLM, two methods have been identified: these are the OBMG method and the CBMG method.

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