scholarly journals Control Strategy for Underactuated Multi-Fingered Robot Hand Movement Using Electromyography Signal with Wearable Myo Armband

2020 ◽  
Author(s):  
Ruthber Rodríguez Serrezuela ◽  
Roberto Sagaro Zamora ◽  
Enrique Marañón Reyes
Keyword(s):  
Control Strategy ◽  
Hand Movement ◽  
Robot Hand ◽  
Myo Armband

Indonesian Sign Language API (OpenSIBI API) as The Gateway Services for Myo Armband

2019 ◽  
Vol 1 (1) ◽  
pp. 16
Author(s):  
Moh Zikky ◽  
Rizky Yuniar Hakkun ◽  
Buchori Rafsanjani
Keyword(s):  
Sign Language ◽  
Hand Movement ◽  
Application Programming Interface ◽  
Hand Gesture ◽  
Process Data ◽  
Data Movement ◽  
Myo Armband ◽  
Client Data ◽  
The Media ◽  
Data Request

We create an API (Application Programming Interface) for Indonesian Sign Language (Sistem Isyarat Bahasa Indonesia/SIBI) which is called OpenSIBI. In this case study, we use the Myo Armband device to capture hand gesture data movement. It uses five sensors: Accelerometer, Gyroscope, Orientation, Orientation-Euler, and EMG. First, we record, convert and save those data into JSON dataset in the server as data learning. Then, every data request (trial data) from the client will compare them using k-NN Normalization process. OpenSIBI API works as the middleware which integrated to RabbitMQ as the queue request arranger. Every service request from the client will automatically spread to the server with the queue process. As the media observation, we create a client data request by SIBI Words and Alphabeth Game, which allows the user to answer several stages of puzzle-game with Indonesian Sign Language hand gesture. Game-player must use the Myo armband as an interactive device that reads the hand movement and its fingers for answering the questions given. Thus, the data will be classified and normalized by the k-NN algorithm, which will be processed on the server. In this process, data will pass OpenAPI SIBI (which connected to RabbitMQ) to queue every incoming data-request. So, the obtained data will be processed one by one and sent it back to the client as the answer.

Telecontrol of Prosthetic Robot Hand Using Myo Armband

2021 ◽  
Author(s):  
Muhammad Yunus bin Yakob ◽  
Mohd Zafri bin Baharuddin ◽  
Ahmad Rafiq Mohd Khairudin ◽  
Muhammad Hanif Bin Abdul Karim
Keyword(s):  
Robot Hand ◽  
Myo Armband

scholarly journals Design of the NASA Robonaut Hand

1999 ◽  
Author(s):  
C. S. Lovchik ◽  
H. A. Aldridge ◽  
M. A. Diftler
Keyword(s):  
Control Strategy ◽  
Degrees Of Freedom ◽  
Robot Hand ◽  
Design Philosophy ◽  
Human Scale ◽  
Finger Control

Abstract The design of a highly anthropomorphic human scale robot hand for space based operations is described. This five finger hand combined with its integrated wrist and forearm has fourteen independent degrees of freedom. The device approximates very well the kinematics and required strength of a space suited astronaut’s gloved hand. The mechanisms used to meet these requirements are explained in detail along with the design philosophy behind them. Integration experiences reveal the challenges associated with obtaining the required capabilities within the desired size. The initial finger control strategy is presented along with examples of obtainable grasps.

Analysis and Systematic Classification of Human Hand Movement for Robot Hand Design

2008 ◽  
Vol 20 (3) ◽  
pp. 429-435 ◽  
Author(s):  
Takeshi Ninomiya ◽  
◽  
Takashi Maeno ◽  
Keyword(s):  
Hand Movement ◽  
Hand Movements ◽  
Human Hand ◽  
Robot Hand ◽  
Systematic Classification ◽  
Robot Hands ◽  
Human Muscles ◽  
Set Up ◽  
Human Hands

The systematic classification of hand movements, which indicates the minimum mechanism of robot hands, is suggested. The performance of existent robot hands is not as high as that of human hands because the performance of existent actuators does not come up to that of human muscles in the same volume. It is important for robot hands to accomplish targeted tasks with a minimum mechanism. Human hand movements are analyzed quantitatively considering robot hands such as associated movement of DIP and PIP joints. Based on the results of analysis, we obtain three items, i.e., fingers, joints that must be set up actuators and basic movements we define. We systematically classify human hand movement for the robot hand based on three items.

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