A real-time control model for intelligent virtual human

2004 ◽  
Author(s):  
Y. Liu ◽  
D. Guo ◽  
J. Sun ◽  
Z. Wei
Keyword(s):  
Real Time ◽  
Control Model ◽  
Virtual Human ◽  
Real Time Control ◽  
Time Control

scholarly journals Real-time control of 3D virtual human motion using a depth-sensing camera for agricultural machinery training

2013 ◽  
Vol 58 (3-4) ◽  
pp. 782-789 ◽  
Author(s):  
Chengfeng Wang ◽  
Qin Ma ◽  
Dehai Zhu ◽  
Hong Chen ◽  
Zhoutuo Yang
Keyword(s):  
Real Time ◽  
Human Motion ◽  
Virtual Human ◽  
Agricultural Machinery ◽  
Real Time Control ◽  
Depth Sensing ◽  
Time Control

scholarly journals Real-Time Control of a Virtual Human Using Minimal Sensors

1993 ◽  
Vol 2 (1) ◽  
pp. 82-86 ◽  
Author(s):  
Norman I. Badler ◽  
Michael J. Hollick ◽  
John P. Granieri
Keyword(s):  
Computer Graphics ◽  
Real Time ◽  
Human Body ◽  
Inverse Kinematics ◽  
Human Model ◽  
Virtual Human ◽  
Real Time Control ◽  
Time Control ◽  
Six Dof ◽  
Full Body

We track, in real-time, the position and posture of a human body, using a minimal number of six DOF sensors to capture full body standing postures. We use four sensors to create a good approximation of a human operator's position and posture, and map it on to our articulated computer graphics human model. The unsensed joints are positioned by a fast inverse kinematics algorithm. Our goal is to realistically recreate human postures while minimally encumbering the operator.

A Real Time Control Architecture for Continuously Managing Patients in a Care Unit

1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice
Keyword(s):  
Real Time ◽  
Linear Time ◽  
Treatment Plan ◽  
Control Architecture ◽  
Real Time Control ◽  
Time Representation ◽  
Time Control ◽  
Continuous Support ◽  
Definition Of ◽  
Computerized System

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.

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