A theoretical consideration of pattern space trajectory for gesture spotting recognition

Author(s):  
S. Nagaya ◽  
S. Seki ◽  
R. Oka
Author(s):  
T. Yamamoto ◽  
I. Kuno ◽  
Koichi Takeda ◽  
Takehiko Toh ◽  
Jim Tanaka ◽  
...  

2021 ◽  
Vol 13 (7) ◽  
pp. 3966
Author(s):  
Anastasia Atabekova

This article explores the hypothesis that the concept of heritage is relevant for a university-based degree course in legal translators and interpreters’ training. The research rests on the legal and academic understanding of cultural heritage. The study explores its specifics regarding the English-taught discipline on Legal Translation and Interpreting Studies within the above-mentioned graduate program. The research integrates qualitative tools and statistical instruments, starts with the theoretical consideration of legislative and academic sources, proceeds to the empirical studies of heritage samples, and considers their relevance for the heritage module design within the specified discipline. The experimental design of such a module and its use for the training of students are also part of the present investigation that further explores students’ perceptions of the heritage module under study, with reference to their future career tracks. The study reveals the specifics and components of the heritage framework for the discipline under study and identifies those areas of professional activities for which students consider the heritage module as most useful and relevant. These issues have not been a subject for academic research so far, which contributes to the research relevance and novelty.


2021 ◽  
Vol 11 (4) ◽  
pp. 1933
Author(s):  
Hiroomi Hikawa ◽  
Yuta Ichikawa ◽  
Hidetaka Ito ◽  
Yutaka Maeda

In this paper, a real-time dynamic hand gesture recognition system with gesture spotting function is proposed. In the proposed system, input video frames are converted to feature vectors, and they are used to form a posture sequence vector that represents the input gesture. Then, gesture identification and gesture spotting are carried out in the self-organizing map (SOM)-Hebb classifier. The gesture spotting function detects the end of the gesture by using the vector distance between the posture sequence vector and the winner neuron’s weight vector. The proposed gesture recognition method was tested by simulation and real-time gesture recognition experiment. Results revealed that the system could recognize nine types of gesture with an accuracy of 96.6%, and it successfully outputted the recognition result at the end of gesture using the spotting result.


1985 ◽  
Vol 9 (4) ◽  
pp. 224-227 ◽  
Author(s):  
Mohamed Abdel-Rohman

The time delay between measuring the structural response, and applying the designed active control forces may affect the controlled response of the structure if not taken into consideration. In this paper it is shown how to design the control forces to compensate for the delay effect. It is also shown that the time delay effect can be used as a criterion to judge the effectiveness of the proposed control mechanism. As an illustration of the theoretical consideration, a numerical example in which a tall building is controlled by means of active tendons is presented.


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