Introducing coordination in hand position analysis during a steering wheel-based tracking task using fuzzy sets

Author(s):  
Pierre Loslever ◽  
Jessica Schiro ◽  
François Gabrielli ◽  
Philippe Pudlo
2013 ◽  
Vol 29 (2) ◽  
pp. 235-240 ◽  
Author(s):  
Wei Liu ◽  
Jill Whitall ◽  
Thomas M. Kepple

Functional arm reaching involves multilinked joints: shoulder, elbow, and wrist. We propose that induced position analysis is a useful analytical tool for multijoint coordination of arm reaching. This method was used to compute the contributions of the net joint moment to the hand position when reaching forward. We describe the method and give examples of validating this model with motion capture data. The shoulder and elbow were prime movers of the arm: both acted together with an “overshoot” and “undershoot” pattern respectively to move the hand forward into the final position.


2011 ◽  
Vol 12 (2) ◽  
pp. 187-190 ◽  
Author(s):  
Bertil Jonsson
Keyword(s):  

Author(s):  
J. Schiro ◽  
F. Gabrielli ◽  
P. Pudlo ◽  
M. Djemai ◽  
F. Barbier

Author(s):  
Dick De Waard ◽  
Thigri G.M.P.R. Van den Bold ◽  
Ben Lewis-Evans
Keyword(s):  

Author(s):  
Kusuma Kumari B.M ◽  
Sampada Sethi ◽  
Ramakanth Kumar P ◽  
Nishant Kumar ◽  
Atulit Shankar

<p>A low-cost and simple distributed sensors model that is particularly suitable for measuring eye blink of the driver, accident and hand position on a steering wheel. These sensors can be used in automotive active safety systems that aim at detecting driver’s fatigue, a major issue to prevent road accidents. The key point of this approach is to design a prototype of sensor units, so that it can serve as platform for integrating different kinds of sensors into the steering wheel. Since the sensors are attached to the steering wheel, therefore they can’t be detached by the driver. It will also detect dangerous stylish driving which may lead to fatal accidents. The major drawback is that the eye blink sensors frame worn by the driver can be removed causing the sensor non-operational. The outcome is that the vibrator attached to eye blink sensor’s frame vibrates if the driver shuts his eyes for approximately 3 seconds and also the LCD displays the respective warning message. The wheel is slowed or stopped depending on the condition. This is accompanied by the vehicle’s owner being notified through the GSM module, so the owner can retrieve the driver’s location, photograph and a list of nearby police stations through an android mobile application. Therefore, driver can be alerted during drowsiness and the owner can be notified simultaneously.</p>


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