Implementation of an Affordable Gesture-Controlled Robotic Arm: Revolutionizing Patient Care with Precision

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2024)
Prif Awdur: Sarker, Apurba
Awduron Eraill: Sourav Das Suvro
Cyhoeddwyd:
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Pynciau:
Mynediad Ar-lein:Citation/Abstract
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!

MARC

LEADER 00000nab a2200000uu 4500
001 3149087908
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024 7 |a 10.1109/PEEIACON63629.2024.10799957  |2 doi 
035 |a 3149087908 
045 2 |b d20240101  |b d20241231 
084 |a 228229  |2 nlm 
100 1 |a Sarker, Apurba  |u Bangladesh University of Engineering and Technology,Department of Mechanical Engineering,Dhaka,Bangladesh 
245 1 |a Implementation of an Affordable Gesture-Controlled Robotic Arm: Revolutionizing Patient Care with Precision 
260 |b The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  |c 2024 
513 |a Conference Proceedings 
520 3 |a Conference Title: 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON)Conference Start Date: 2024, Sept. 12 Conference End Date: 2024, Sept. 13 Conference Location: Rajshahi, BangladeshMechanical Arms can be employed as Collaborative Robots (Cobots) to carry out Pick and Place operations, Machine Parts Assembly in Industries, Material Removal, Precise Robotic Welding, Part Transfer and Machine Tending, Painting, various Medical Purposes, Military Applications like Bomb Defusing, Security Inspection and many other tasks. The goal of this study is to create a robotic arm that can be gesture controlled to mimic the motion of a human arm, using the Arduino, by selecting appropriate components, including the Arduino microcontroller, servo motors, and gesture recognition sensors such as flex sensors and gyroscopes. This study also highlights the programming aspect by outlining the development of Arduino code to interpret and analyze the sensor data and generate corresponding servo control commands. Finally, potential challenges and scopes for further development, such as refining gesture recognition accuracy and implementing more complex movements were addressed. 
653 |a Sensors 
653 |a Servocontrol 
653 |a Military applications 
653 |a Robot arms 
653 |a Servomotors 
653 |a Task complexity 
653 |a Gesture recognition 
653 |a Mechanical arms 
653 |a Human motion 
653 |a Industrial applications 
653 |a Servomechanisms 
653 |a Industrial robots 
653 |a Robotics 
653 |a Economic 
700 1 |a Sourav Das Suvro  |u Bangladesh University of Engineering and Technology,Department of Mechanical Engineering,Dhaka,Bangladesh 
773 0 |t The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings  |g (2024) 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3149087908/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch