Low-cost, dual-mode enhanced vision sensor prototype

2006 ◽  
Vol 21 (7) ◽  
pp. 22-26
Author(s):  
T.W. Rand ◽  
R.A. Ferrante ◽  
J.M. Suiter
Keyword(s):  
Low Cost ◽  
2010 ◽  
Vol 34 (2) ◽  
pp. 195-205 ◽  
Author(s):  
Naser Hamdi ◽  
Yazan Dweiri ◽  
Yousef Al-Abdallat ◽  
Tarek Haneya

This paper presents an implementation of a practical and low-cost hardware-based control system for multifunctional myoelectric hand prostheses. The model utilizes a mode-switching technique in order to voluntarily control the operation of a dual-mode prosthetic device in two degrees of freedom: grasp/release and pronation/supination. This system was designed specifically to cater to the increasing needs of patients in developing countries, where myoelectric prostheses are scarce and extremely expensive. The design relied entirely on locally-available commercial components and aimed at allowing small prosthetics producers the freedom to utilize and modify the design according to their clients' preferences and requirements. Evaluation tests revealed excellent control and ability to execute basic hand and wrist functions even with short training periods, although results varied with the underlying level of muscular activity.


2008 ◽  
Vol 54 (2) ◽  
pp. 326-332 ◽  
Author(s):  
Yun-Nan Chang
Keyword(s):  
Low Cost ◽  

2016 ◽  
Vol 7 (1) ◽  
pp. 12-25
Author(s):  
Seokju Lee ◽  
Girma Tewolde ◽  
Jongil Lim ◽  
Jaerock Kwon

This paper presents an efficient approach for a vision based localization of multiple mobile robots in an indoor environment by using a low cost vision sensor. The proposed vision sensor system that uses a single camera mounted over the mobile robots field takes advantages of small size, low energy consumption, and high flexibility to play an important role in the field of robotics. The nRF24L01 RF transceiver is connected to the vision system to enable wireless communication with multiple devices through 6 different data pipes. The downward-facing camera provides excellent performance that has the ability to identify a number of objects based on color codes, which form colored landmarks that provide mobile robots with useful image information for localization in the image view, which is then transformed to real world coordinates. Experimental results are given to show that the proposed method can obtain good localization performance in multi-mobile robots setting.


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