Showing 1-25 of 23,637 resultsfor "Index Terms":Fingers
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Modified Kinematic Technique for Measuring Pathological Hyperextension and Hypermobility of the Interphalangeal Joints
Dynamic finger joint motion is difficult to measure using optical motion analysis techniques due to the limited surface area allowed for adequate marker placement. This paper describes an extension of a previously validated kinematic measurement technique using a reduced surface marker set and outlines the required calculations based on a specific surface marker placement to calculate flexion/exte...Show More
Finger Joint Angle Estimation Based on Motoneuron Discharge Activities
Estimation of joint kinematics plays an important role in intuitive human-machine interactions. However, continuous and reliable estimation of small (e.g., the finger) joint angles is still a challenge. The objective of this study was to continuously estimate finger joint angles using populational motoneuron firing activities. Multi-channel surface electromyogram (sEMG) signals were obtained from ...Show More
Continuous Detection and Decoding of Dexterous Finger Flexions With Implantable MyoElectric Sensors
Justin J. Baker;Erik Scheme;Kevin Englehart;Douglas T. Hutchinson;Bradley Greger
A rhesus monkey was trained to perform individuated and combined finger flexions of the thumb, index, and middle finger. Nine implantable myoelectric sensors (IMES) were then surgically implanted into the finger muscles of the monkey's forearm, without any adverse effects over two years postimplantation. Using an inductive link, EMG was wirelessly recorded from the IMES as the monkey performed a f...Show More
Cross Sensor Finger Vein Recognition
2022 International Conference of the Biometrics Special Interest Group (BIOSIG)
Year: 2022 | Conference Paper |
If biometric systems are rolled out on a large scale, it will not always be guaranteed that all capturing devices are of exactly the same type. It is therefore important to ensure that the biometric system also works across multiple capturing devices. In finger vein biometry, there is almost no published work in this regard. The biggest problem here is certainly that there are only very few datase...Show More
Inverse Piano Technique: a New Tool to Study Finger Interdependence
2006 14th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
Year: 2006 | Conference Paper |
Cited by: Patents (1)
Two phenomena previously observed in multi-finger static maximum voluntary contraction (MVC) tasks—(1) force deficit and (2) enslaving—were compared with the force patterns produced during sub-maximal dynamic tasks. A new tool, the inverse piano, was designed to measure the finger forces during the sub-maximal dynamic tasks. During the dynamic experiments, the keys of the IP elevated according to ...Show More
Towards the Control of Individual Fingers of a Prosthetic Hand Using Surface EMG Signals
Francesco Tenore;Ander Ramos;Amir Fahmy;Soumyadipta Acharya;Ralph Etienne-Cummings;Nitish V. Thakor
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2007 | Conference Paper |
The fast pace of development of upper-limb prostheses requires a paradigm shift in EMG-based controls. Traditional control schemes are only capable of providing 2 degrees of freedom, which is insufficient for dexterous control of individual fingers. We present a framework where myoelectric signals from natural hand and finger movements can be decoded with a high accuracy. 32 surface-EMG electrodes...Show More
Towards Efficient Neural Decoder for Dexterous Finger Force Predictions
Objective: Dexterous control of robot hands requires a robust neural-machine interface capable of accurately decoding multiple finger movements. Existing studies primarily focus on single-finger movement or rely heavily on multi-finger data for decoder training, which requires large datasets and high computation demand. In this study, we investigated the feasibility of using limited single-finger ...Show More
This paper presents experiments measuring psychophysical thresholds for multi-finger single point interaction with small haptic effects. Subjects used the UW Multi-Finger Haptic Display to interact with small haptic icons in a virtual environment. A forced-choice adaptive thresholding method is used to find a minimum detectable force magnitude. First, studies are performed to evaluate the consiste...Show More
A study on the human grip force distribution on the cylindrical handle by intelligent force glove(I-force glove)
Jung-Hyun Lee;Young-Shin Lee;Sung-Ha Park;Moon-Cheol Park;Byung-Kun Yoo;Sung-Min In
2008 International Conference on Control, Automation and Systems
Year: 2008 | Conference Paper |
Cited by: Papers (6)
This study tested grip force on cylindrical handles to evaluate the relationships between handle diameter (50-75 mm diameter handles), perceived comfort, finger and phalange force distribution. The force glove system was used for development and estimation of various products. It is system for measurement occurred forces when subject grip the objects. It is consists of sensor assembly with 46 cell...Show More
The research of double-biometric identification technology based on finger geometry & palm print
2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)
Year: 2011 | Conference Paper |
Cited by: Papers (3)
Common system of single biometric identification is based on single technology, such as fingerprints identification, face identification and iris identification. They have unicity and limitations. So multi-biometric identification technology is valued extensively and becomes the focus of studies. This article, which bases on the features of singular creasure, puts forward multi-biometric identific...Show More
The analysis of electroneurographic and electromyographic activity recorded in the medial nerve of a transhumeral amputee during phantom finger movements
Gurgen Soghoyan;Artur Biktimirov;Nikita Piliugin;Ilya Chekh;Yury Matvienko;Mikhail Sintsov;Mikhail Lebedev
2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
The control of bionic prostheses for upper-limb amputees is often conducted under electromyographic (EMG) control, where enacting individual finger movements presents a significant challenge. With the development of neuroprosthetical systems based on peripheral-nerve implants, electrical activity of the afferent and efferent nerve fibers can be employed to improve decoding and control. Notwithstan...Show More
Evaluation of Finger Force Control Ability in Terms of Multi-Finger Synergy
In this study, finger force control abilities are quantified by the concept of multi-finger synergy in conjunction with uncontrolled manifold (UCM) analysis. Two indices, namely, repeatability and flexibility, representing features of multi-finger synergy were proposed to overcome the limitation of previously introduced indices, such as floor effects and distortion problems. The proposed indices w...Show More
Personal Authentication Using Finger Knuckle Surface
This paper investigates a new approach for personal authentication using fingerback surface imaging. The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. The finger geometry features can be simultaneously acquired from the same image at the same time and integrated to further improve the user-identification accuracy o...Show More
Unsupervised Neural Decoding to Predict Dexterous Multi-Finger Flexion and Extension Forces
Accurate control over individual fingers of robotic hands is essential for the progression of human-robot interactions. Accurate prediction of finger forces becomes imperative in this context. The state-of-the-art neural decoders can extract neural signals from surface electromyogram (sEMG) signals. However, these decoders require labeled data for decoder training, which is challenging to obtain i...Show More
Biomimetic finger control by filtering of distributed forelimb pressures
A linear filter was developed for decoding finger commands from volitional pressures distributed within the residual forelimb. Filter parameters were based on dynamic pressures recorded from the residual limb within its socket, during specific finger commands. A matrix of signal features was derived from eight-dimensional pressure vectors, and its pseudoinverse comprised the filter parameters. Res...Show More
Multi-scale recordings for neuroprosthetic control of finger movements
Justin Baker;William Bishop;Spencer Kellis;Todd Levy;Paul House;Bradley Greger PhD
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2009 | Conference Paper |
We trained a rhesus monkey to perform individuated and combined finger flexions and extensions of the thumb, index, and middle finger. A Utah Electrode Array (UEA) was implanted into the hand region of the motor cortex contralateral to the monkey’s trained hand. We also implanted a microwire electrocorticography grid (µECoG) epidurally so that it covered the UEA. The µECoG grid spanned the arm and...Show More
Analysis and Classification for Single-Trial EEG Induced by Sequential Finger Movements
Shanshan Zhang;Kun Wang;Minpeng Xu;Zhongpeng Wang;Long Chen;Faqi Wang;Lixin Zhang;Dong Ming
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2019 | Conference Paper |
In recent years, motor imagery-based BCIs (MI-BCIs) controlled various external devices successfully, which have great potential in neurological rehabilitation. In this paper, we designed a paradigm of sequential finger movements and utilized spatial filters for feature extraction to classify single-trial electroencephalography (EEG) induced by finger movements of left and right hand. Ten healthy ...Show More
Concurrent Estimation of Finger Flexion and Extension Forces Using Motoneuron Discharge Information
Objective: A reliable neural-machine interface offers the possibility of controlling advanced robotic hands with high dexterity. The objective of this study was to develop a decoding method to estimate flexion and extension forces of individual fingers concurrently. Methods: First, motor unit (MU) firing information was identified through surface electromyogram (EMG) decomposition, and the MUs wer...Show More
Finger Force Estimation Using Motor Unit Discharges Across Forearm Postures
Background: Myoelectric- based decoding has gained popularity in upper- limb neural-machine interfaces. Motor unit (MU) firings decomposed from surface electromyographic (EMG) signals can represent motor intent, but EMG properties at different arm configurations can change due to electrode shift and differing neuromuscular states. This study investigated whether isometric fingertip force estimatio...Show More
This paper presents a new approach to improve the performance of finger-vein identification systems presented in the literature. The proposed system simultaneously acquires the finger-vein and low-resolution fingerprint images and combines these two evidences using a novel score-level combination strategy. We examine the previously proposed finger-vein identification approaches and develop a new a...Show More
Hand Gesture Recognition and Finger Angle Estimation via Wrist-Worn Modified Barometric Pressure Sensing
This paper presents a new approach to wearable hand gesture recognition and finger angle estimation based on the modified barometric pressure sensing. Barometric pressure sensors were encased and injected with VytaFlex rubber such that the rubber directly contacted the sensing element allowing pressure change detection when the encasing rubber was pressed. A wearable prototype consisting of an arr...Show More
Design and development of an adjustable angle sensor based on rotary potentiometer for measuring finger flexion
Azizul Othman;Norhazimi Hamzah;Zakaria Hussain;Rohaiza Baharudin;Anis Diyana Rosli;Adi Izhar Che Ani
2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)
Year: 2016 | Conference Paper |
Cited by: Papers (12)
In this paper, an adjustable angle sensor based on rotary potentiometer for measuring and monitoring finger flexion is proposed. Most of the current system is unadjustable, inaccurate, costly and hard to calibrate. The proposed system in this study consists of a rotary potentiometers and adjustable case, which makes it adjustable, compact and lightweight with the ability to produce a better measur...Show More
Combining hand biometric traits for personal identification
Miguel A. Ferrer;Aythami Morales;Carlos M. Travieso;Jesus B. Alonso
43rd Annual 2009 International Carnahan Conference on Security Technology
Year: 2009 | Conference Paper |
Cited by: Papers (9)
The fusion of hand biometric traits has been a very active research topic since 2003. The first part of this paper presents a short summary of the technology on combining hand biometric traits. As the summary show a clear tendency on adding new hand based traits in order to increase the performance of the hand based biometric scheme, an experiment that combine hand geometry, palm print, finger tex...Show More
Prediction of five-class finger flexion using ECoG signals
2012 Cairo International Biomedical Engineering Conference (CIBEC)
Year: 2012 | Conference Paper |
Cited by: Papers (9)
Brain Computer Interface (BCI) is one of the clinical applications that might restore communication to people with severe motor disabilities. Recording and analysis of electrophysiological brain signals is the base of BCI research and development. Electrocorticography (ECoG) is an invasive record to brain signals from electrode grids on the surface of the brain. ECoG signal makes possible localiza...Show More
A Bio-Mimetic Inter-Articular Coordination Model for Humanoid Graspings
2006 IEEE Conference on Robotics, Automation and Mechatronics
Year: 2006 | Conference Paper |
Cited by: Papers (3)
Analyzing the motion behavior of human fingers is a very important aspect to modulate a human-like motion of humanoid fingers handling an object. Based on this concept, this paper analyzes the joint trajectories of human fingers for an operation of hand opening and closing, and identifies an empirical relationship that coordinates the inter-joint actuation of human fingers doing the motion. For th...Show More
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