Wireless robotic hand for remote operations using flex sensor

Dhepekar, Puja; Adhav, Yashwant G.

doi:10.1109/icacdot.2016.7877562

Cited by 20 publications

(3 citation statements)

References 11 publications

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“…Flex sensor and accelerometer are connected with Arduino. Then, Arduino sends signals to robot hand through xbee, direct cable and RF signal [13][14][15].…”

Section: Related On Workmentioning

confidence: 99%

Detection Hand Motion on Virtual Reality Mathematics Game with Accelerometer and Flex Sensors

Nugroho

Chandrawati

2018

TELKOMNIKA

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Montessori method is a learning method using props. One of the developments props is to use the game as a medium of learning. The examples Game media as learning is the use of Virtual Reality or VR Technology. By using the VR, players will be brought into the virtual world as if the player is in the real world. The weakness of the VR game is the limited interaction with the outside world. Interaction uses only buttons and joysticks. In this paper we use Flex sensor and accelerometer sensor to detect hand movements for VR mathematic game. The result is VR games are more interactive and interesting with hand motion.

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“…Flex sensor and accelerometer are connected with Arduino. Then, Arduino sends signals to robot hand through xbee, direct cable and RF signal [13][14][15].…”

Section: Related On Workmentioning

confidence: 99%

Detection Hand Motion on Virtual Reality Mathematics Game with Accelerometer and Flex Sensors

Nugroho

Chandrawati

2018

TELKOMNIKA

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“…By wearing a data glove, operators can manipulate mechanical arms in real time by changing hand movements. This offers higher operation precision and freedom of freedom, particularly during tasks such as grasping or placement, demonstrating the immense potential of data gloves [25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Teleoperated Grasping Using Data Gloves Based on Fuzzy Logic Controller

Lu,

Jin,

Liu

et al. 2024

Biomimetics

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Teleoperated robots have attracted significant interest in recent years, and data gloves are one of the commonly used devices for their operation. However, existing solutions still encounter two challenges: the ways in which data gloves capture human operational intentions and achieve accurate mapping. In order to address these challenges, we propose a novel teleoperation method using data gloves based on fuzzy logic controller. Firstly, the data are collected and normalized from the flex sensors on data gloves to identify human manipulation intentions. Then, a fuzzy logic controller is designed to convert finger flexion information into motion control commands for robot arms. Finally, experiments are conducted to demonstrate the effectiveness and precision of the proposed method.

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“…Some works discuss the use of flex sensors for the evaluation of the range of motion (ROM), for example for clinical monitoring in rehabilitation [6][7][8] or for monitoring body postures [9,10]. Many publications concern the development or application of instrumented gloves with flexion sensors to control exoskeletons for different purposes, such as: hand rehabilitation [11], and more generally, control of robotic devices [12][13][14], translation of sign language [15], recognition of hand gestures [16,17], development of an advanced human/computer interface [18], tele-operation [13] and prosthetic devices control [19,20].…”

Section: Introductionmentioning

confidence: 99%

Test-Bench for the Characterization of Flexion Sensors Used in Biomechanics

Tiboni

Filippini²,

Amici

et al. 2021

Electronics

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The design, prototyping and validation of an innovative test bench for the characterization and the hysteresis measurement of flexion sensors are presented in this paper. The device, especially designed to test sensors employed in the biomedical field, can be effectively used to characterize also sensors intended for other applications, such as wearable devices. Flexion sensors are widely adopted in devices for biomedical purposes and in this context are commonly used in two main ways: to measure movements (i) with fixed radius of curvature and (ii) with variable radius of curvature. The test bench has been conceived and designed with reference to both of these needs of use. The technological choices have been oriented towards simplicity of manufacture and assembly, configuration flexibility and low cost of realization. For this purpose, 3D printing technology was chosen for most of the structural components of the device. To verify the test bench performances, a test campaign was carried out on five commercial bending sensors. To characterize each sensor, the acquired measurements were analysed by assessing repeatability and linearity of the sensors and hysteresis of the system sensor/test bench. A statistical analysis was performed to study the positioning repeatability and the hysteresis of the device. The results demonstrate good repeatability and low hysteresis.

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Wireless robotic hand for remote operations using flex sensor

Cited by 20 publications

References 11 publications

Detection Hand Motion on Virtual Reality Mathematics Game with Accelerometer and Flex Sensors

Detection Hand Motion on Virtual Reality Mathematics Game with Accelerometer and Flex Sensors

Teleoperated Grasping Using Data Gloves Based on Fuzzy Logic Controller

Test-Bench for the Characterization of Flexion Sensors Used in Biomechanics

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