Modeling of a 3D force flexible tactile sensor and its structural optimization

Li, Shanhong; Zhong, Cheng; Wang, Qinglong; Meng, Fanqing; Wang, Yubing; Ge, Yaojun

doi:10.1109/iciea.2016.7603939

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…Luzanin et al developed a data glove-based hand motion recognition system which used a probabilistic neural network trained on a cluster set generated by a clustering ensemble [5]. Some mainstream sensors, including capacitive, piezoresistive, piezoelectric and optoelectronic techniques, were designed to detect 3D contact force and physical properties of object [6]. By utilizing multichannel surface EMG, individual and combined finger movements were classified for dexterous prosthetic control, and then offline processing was used to evaluate the classification performance [7].…”

Section: Introductionmentioning

confidence: 99%

Multiple Sensors Based Hand Motion Recognition Using Adaptive Directed Acyclic Graph

Xue

Xiang

et al. 2017

Applied Sciences

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Abstract:The use of human hand motions as an effective way to interact with computers/robots, robot manipulation learning and prosthetic hand control is being researched in-depth. This paper proposes a novel and effective multiple sensor based hand motion capture and recognition system. Ten common predefined object grasp and manipulation tasks demonstrated by different subjects are recorded from both the human hand and object points of view. Three types of sensors, including electromyography, data glove and FingerTPS are applied to simultaneously capture the EMG signals, the finger angle trajectories, and the contact force. Recognising different grasp and manipulation tasks based on the combined signals is investigated by using an adaptive directed acyclic graph algorithm, and results of comparative experiments show the proposed system with a higher recognition rate compared with individual sensing technology, as well as other algorithms. The proposed framework contains abundant information from multimodal human hand motions with the multiple sensor techniques, and it is potentially applicable to applications in prosthetic hand control and artificial systems performing autonomous dexterous manipulation.

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Section: Introductionmentioning

confidence: 99%

Multiple Sensors Based Hand Motion Recognition Using Adaptive Directed Acyclic Graph

Xue

Xiang

et al. 2017

Applied Sciences

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AI‐Enhanced Materials Identification with Smart Directional Tangential Flexible Sensor

Luo,

Niu,

et al. 2024

Adv Materials Technologies

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In the field of intelligent manufacturing, flexible sensors play a key role as sensing components. However, people have previously focused on the normal response of tactile sensors and neglected the tangential response, and the traditional symmetric structure still has some difficulties in detecting the tangential force. Here, this work designed a novel sensor with high shear sensing capabilities using 3D printing technology to create micro‐pillar structures with adjustable aspect ratios, allowing for a wide detection range or high sensitivity. The sensor is composed of an anisotropic micro‐pillar dielectric layer and the fabric electrode layers. By vertically stacking two subunits, the sensor can accurately detect both the magnitude and direction of tangential forces. In addition, the sensor has virtually no signal drift after 20000 cycles, providing long‐term stability and durability. Finally, the sensor is integrated with AI technology and applied in areas such as robotic arm grasping, fabric texture sensing, and material recognition, highlighting its strong potential for applications in robotics and human‐machine interaction.

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Modeling of a 3D force flexible tactile sensor and its structural optimization

Cited by 2 publications

References 11 publications

Multiple Sensors Based Hand Motion Recognition Using Adaptive Directed Acyclic Graph

Multiple Sensors Based Hand Motion Recognition Using Adaptive Directed Acyclic Graph

AI‐Enhanced Materials Identification with Smart Directional Tangential Flexible Sensor

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