Wireless Controlled Robotic Hand using an LED-LDR Sensor

The goal of this study is to develop a wireless-controlled robotic hand that is capable of replicating the movements of a human hand. A central objective of the design process is the development of a sensing technique that can accurately capture and translate human hand movements into electrical signals in a sustainable manner. This sensing technology relies on the detection of flexion and extension in the human hand, achieved through the modulation of light transmitted from a Light-Emitting Diode (LED) and received by a Light-Dependent Resistor (LDR). Five sensors, each corresponding to a finger, are integrated into a glove worn by the user, thereby enabling an intuitive control of the robotic hand. The sensors generate discrete electrical signals with each finger movement, which are then wirelessly transmitted via nRF24l01 modules to the microcontroller of the robotic hand. Subsequently, the microcontroller generates the requisite electrical signals to actuate the servo motors, thereby orchestrating the movement of the robotic fingers to mimic human hand gestures. The robotic hand, comprising 46 individual components fabricated using biodegradable polylactic acid material via 3D printing, successfully achieves its objective of replicating human hand movements. However, a minor delay in milliseconds is observed between human hand movements and the corresponding robotic hand movements. Despite this delay, the developed system shows promise for applications in hazardous environments, such as dangerous chemistry experiments, and enhances safety in the medical laboratory. It may also play a crucial role in remote surgery procedures.

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Publication Details

Journal
Engineering Technology & Applied Science Research
Published
2024-10-09
DOI
https://doi.org/10.48084/etasr.8507
Citations
2
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.42
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article

Wireless Controlled Robotic Hand using an LED-LDR Sensor

Omar A. Saraereh, Samer Alabed, Amer Alsaraira, K. Ben Younes
2 citations
Engineering Technology & Applied Science Research
IoT-based Smart Home Systems
0.42
article

Wireless Controlled Robotic Hand using an LED-LDR Sensor

Omar A. Saraereh, Samer Alabed, Amer Alsaraira, K. Ben Younes
article en
2 citations

Abstract

The goal of this study is to develop a wireless-controlled robotic hand that is capable of replicating the movements of a human hand. A central objective of the design process is the development of a sensing technique that can accurately capture and translate human hand movements into electrical signals in a sustainable manner. This sensing technology relies on the detection of flexion and extension in the human hand, achieved through the modulation of light transmitted from a Light-Emitting Diode (LED) and received by a Light-Dependent Resistor (LDR). Five sensors, each corresponding to a finger, are integrated into a glove worn by the user, thereby enabling an intuitive control of the robotic hand. The sensors generate discrete electrical signals with each finger movement, which are then wirelessly transmitted via nRF24l01 modules to the microcontroller of the robotic hand. Subsequently, the microcontroller generates the requisite electrical signals to actuate the servo motors, thereby orchestrating the movement of the robotic fingers to mimic human hand gestures. The robotic hand, comprising 46 individual components fabricated using biodegradable polylactic acid material via 3D printing, successfully achieves its objective of replicating human hand movements. However, a minor delay in milliseconds is observed between human hand movements and the corresponding robotic hand movements. Despite this delay, the developed system shows promise for applications in hazardous environments, such as dangerous chemistry experiments, and enhances safety in the medical laboratory. It may also play a crucial role in remote surgery procedures.

Engineering Technology & Applied Science ResearchVol. 14(5)
Hashemite University (JO), German Jordanian University (JO)
Openalex Percentile: Top 37%
IoT-based Smart Home Systems
0.42
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Wireless Controlled Robotic Hand using an LED-LDR Sensor — Omar A. Saraereh, Samer Alabed, et al. · Engineering Technology & Applied Science Research (2024) | TGRS Research Map | TGRS