Using the plastic framework to augment scenario-based training systems with instructional agents

The objective of above-elbow myoelectric prostheses is to reestablish the functionality of missing limbs and increase the quality of life of amputees. By using electromyography (EMG) electrodes attached to the surface of the skin, amputees are able to control motors in myoelectric prostheses by voluntarily contracting the muscles of their residual limb. This work describes the development of an inexpensive myoelectric training tool (MTT) designed to help upper limb amputees learn how to use myoelectric technology in advance of receiving their actual myoelectric prosthesis. The training tool consists of a physical and simulated robotic arm, signal acquisition hardware, controller software, and a graphical user interface. The MTT improves over earlier training systems by allowing a targeted muscle reinnervation (TMR) patient to control up to two degrees of freedom simultaneously. The training tool has also been designed to function as a research prototype for novel myoelectric controllers. A preliminary experiment was performed in order to evaluate the effectiveness of the MTT as a learning tool and to identify any issues with the system. Five able-bodied participants performed a motor-learning task using the EMG controlled robotic arm with the goal of moving five balls from one box to another as quickly as possible. The results indicate that the subjects improved their skill in myoelectric control over the course of the trials. A usability survey was administered to the subjects after their trials. Results from the survey showed that the shoulder degree of freedom was the most difficult to control.

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From the Eurasian Steppes to the Roman Circuses: A Review of Early Development of Horse Breeding and Management

Animals ◽

10.3390/ani11071859 ◽

2021 ◽

Vol 11 (7) ◽

pp. 1859

Author(s):

Weronika Klecel ◽

Elżbieta Martyniuk

Keyword(s):

Social Status ◽

Early Development ◽

Iron Age ◽

Ancient World ◽

Phenotypic Traits ◽

Striking Resemblance ◽

Training Systems ◽

Horse Breeding ◽

Breeding Practices

The domestication of the horse began about 5500 years ago in the Eurasian steppes. In the following millennia horses spread across the ancient world, and their role in transportation and warfare affected every ancient culture. Ownership of horses became an indicator of wealth and social status. The importance of horses led to a growing interest in their breeding and management. Many phenotypic traits, such as height, behavior, and speed potential, have been proven to be a subject of selection; however, the details of ancient breeding practices remain mostly unknown. From the fourth millennium BP, through the Iron Age, many literature sources thoroughly describe horse training systems, as well as various aspects of husbandry, many of which are still in use today. The striking resemblance of ancient and modern equine practices leaves us wondering how much was accomplished through four thousand years of horse breeding.

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Training Systems for TAV Operations

10.4271/921042 ◽

1992 ◽

Cited By ~ 1

Author(s):

Gilbert G. Kuperman ◽

Annette L. Sobel

Keyword(s):

Training Systems

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Seven Things Every Trainer Must Know about Artificial Intelligence

Journal of Educational Technology Systems ◽

10.2190/463b-frk0-3qu1-y3ud ◽

1991 ◽

Vol 20 (2) ◽

pp. 153-156

Author(s):

Mahima Ranjan Kundu

Keyword(s):

Artificial Intelligence ◽

Expert Systems ◽

Business Management ◽

Human Mind ◽

Educational Programs ◽

Training Environment ◽

Training And Education ◽

Training Systems ◽

Potential Benefits

This article provides information about the prospects and limitations of the Artificial Intelligence and Expert Systems as they relate to training systems and educational programs. The article describes the potential benefits of expert systems and how it can be gainfully employed in training environment, industry, and business management to perform complex jobs. The limitations of the applications of the Artificial Intelligence are discussed as some tend to believe that human mind and computers think alike and AI machines can function like a real expert in every aspect of training and education.

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