Formulation of muscle activity identification problem from shape observation and its solution

2018 ◽  
Vol 2018.13 (0) ◽  
pp. 212
Author(s):  
Hideyuki Azegami ◽  
Ryota Kurimoto ◽  
Genji Saito ◽  
Kenzen Takeuchi ◽  
Yukihiro Michiwaki ◽  
...  
2017 ◽  
Vol 2017 (0) ◽  
pp. OS1103
Author(s):  
Ryota Kurimoto ◽  
Hideki Deguchi ◽  
Keigo Hanyuu ◽  
Yukihiro Michiwaki ◽  
Takahiro Kikuchi ◽  
...  

2002 ◽  
Vol 16 (2) ◽  
pp. 92-96
Author(s):  
Tiina Ritvanen ◽  
Reijo Koskelo ◽  
Osmo H„nninen

Abstract This study follows muscle activity in three different learning sessions (computer, language laboratory, and normal classroom) while students were studying foreign languages. Myoelectric activity was measured in 21 high school students (10 girls, 11 boys, age range 17-20 years) by surface electromyography (sEMG) from the upper trapezius and frontalis muscles during three 45-min sessions. Root mean square (RMS) average from both investigated muscles was calculated. The EMG activity was highest in both muscle groups in the computer-aided session and lowest in the language laboratory. The girls had higher EMG activity in both investigated muscle groups in all three learning situations. The measured blood pressure was highest at the beginning of the sessions, decreased within 10 min, but increased again toward the end of the sessions. Our results indicate that the use of a computer as a teaching-aid evokes more constant muscle activity than the traditional learning situations. Since muscle tension can have adverse health consequences, more research is needed to determine optimal classroom conditions, especially when technical aids are used in teaching.


2012 ◽  
Author(s):  
Ehsan Rashedi ◽  
Bochen Jia ◽  
Maury A. Nussbaum ◽  
Thurmon E. Lockhart

2003 ◽  
Author(s):  
Naomi F. Glasscock ◽  
Gary A. Mirka ◽  
Carolyn M. Sommerich ◽  
Katherine W. Klein

2006 ◽  
Author(s):  
William Porter ◽  
Sean Gallagher ◽  
Carrie Reinholtz ◽  
Janet Torma-Krajewski

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