A Sequential Approach to the Biodynamic Modeling of a Human Finger

Knez, Luka; Slavič, Janko; Boltežar, Miha

doi:10.1155/2017/8791406

Cited by 9 publications

(4 citation statements)

References 34 publications

(48 reference statements)

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“…The transducer was positioned between the palm and carpal bones near the wrist ( Figure 2 b), allowing the signal to be transmitted from the transducer to each of the five sensors through each finger bone. The transmitted acoustic signal contains anatomical information about the fingers (bone, cartilage, tendon, and muscle tissues) and relies on their geometries as well as their biomaterials and biomechanical properties [ 47 , 48 ]. Principal component analysis (PCA) of the acoustic spectrum of each finger was conducted using MATLAB.…”

Section: Multichannel Bioacoustic Identity Authenticationmentioning

confidence: 99%

Multichannel Acoustic Spectroscopy of the Human Body for Inviolable Biometric Authentication

et al. 2022

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Specific features of the human body, such as fingerprint, iris, and face, are extensively used in biometric authentication. Conversely, the internal structure and material features of the body have not been explored extensively in biometrics. Bioacoustics technology is suitable for extracting information about the internal structure and biological and material characteristics of the human body. Herein, we report a biometric authentication method that enables multichannel bioacoustic signal acquisition with a systematic approach to study the effects of selectively distilled frequency features, increasing the number of sensing channels with respect to multiple fingers. The accuracy of identity recognition according to the number of sensing channels and the number of selectively chosen frequency features was evaluated using exhaustive combination searches and forward-feature selection. The technique was applied to test the accuracy of machine learning classification using 5,232 datasets from 54 subjects. By optimizing the scanning frequency and sensing channels, our method achieved an accuracy of 99.62%, which is comparable to existing biometric methods. Overall, the proposed biometric method not only provides an unbreakable, inviolable biometric but also can be applied anywhere in the body and can substantially broaden the use of biometrics by enabling continuous identity recognition on various body parts for biometric identity authentication.

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Section: Multichannel Bioacoustic Identity Authenticationmentioning

confidence: 99%

Multichannel Acoustic Spectroscopy of the Human Body for Inviolable Biometric Authentication

et al. 2022

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“…Therefore, the package created a single kinematic chain system controlled through torque or motion inputs of each revolute joint. This was ideal as research has shown that the best way to model the human hand is as a straight chain link between the wrist and fingertips [30]. The model was designed to be controlled through motion inputs to simulate the motion of the human hand model.…”

Section: The Computer Systemmentioning

confidence: 99%

Low-Cost Sensory Glove for Human–Robot Collaboration in Advanced Manufacturing Systems

2022

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Human–robot collaboration (HRC) enables humans and robots to coexist in the same working environment by performing production operations together. HRC systems are used in advanced manufacturing to improve the productivity and efficiency of a manufacturing process. The question is which HRC systems can ensure that humans can work with robots in a safe environment. This present study proposes a solution through the development of a low-cost sensory glove. This glove was developed using a number of hardware and software tools. The sensory glove analysed and computed the motion and orientation of a worker’s hand. This was carried out to operate the robot through commands and actions while under safe operating conditions. The sensory glove was built as a mechatronic device and was controlled by an algorithm that was designed and developed to compute the data and create a three-dimensional render of the glove as it moved. The image produced enabled the robot to recognize the worker’s hand when collaboration began. Tests were conducted to determine the accuracy, dynamic range and practicality of the system. The results showed that the sensory glove is an innovative low-cost solution for humans and robots to collaborate safely. The sensory glove was able to provide a safe working environment for humans and robots to collaborate on operations together.

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“…3B with detailed explanation in Supporting explanation 4. 54 In general, the stiffness of the spring structure, the design of the contactor structure, and the preload are key parameters affecting the performances. The measured output energy with respect to the stiffness of the spring structure, under a preload of 0.7 N and a driving voltage of 20 Volts at 300 Hz is shown in Fig.…”

Section: Effects Of Mechanical Propertymentioning

confidence: 99%

A Battery-Powered Soft Electromechanical Stimulation Patch for Haptic Human-Machine Interfaces

Zhong¹,

Qiu²,

Jiang³

et al. 2021

Preprint

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One grand challenge in haptic human-machine interface devices is to electromechanically stimulate sensations on human skins wirelessly by thin and soft patches under a low driving voltage. Here, we propose a soft haptics-feedback system using highly charged, polymeric electret films with the annulus-shape bump contact structure to induce mechanical sensations on volunteers under an applied voltage as low as 5 volts. Together with bendable lithium ion batteries and a flexible circuit board, an untethered stimulation patch is constructed for active operations of at least 2 hours with low power consumptions. As an application example, a “silent haptic communication” system is demonstrated to transmit English alphabet letters via the mechanical beating patterns from a patch onto the fingertip of a receiving volunteer. The analytical model, design principle, and performance characterizations can be applicable for the integrations with other devices in wearable electronics toward various applications, including AR (augmented reality) and VR (virtual reality).

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A Sequential Approach to the Biodynamic Modeling of a Human Finger

Cited by 9 publications

References 34 publications

Multichannel Acoustic Spectroscopy of the Human Body for Inviolable Biometric Authentication

Multichannel Acoustic Spectroscopy of the Human Body for Inviolable Biometric Authentication

Low-Cost Sensory Glove for Human–Robot Collaboration in Advanced Manufacturing Systems

A Battery-Powered Soft Electromechanical Stimulation Patch for Haptic Human-Machine Interfaces

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