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3,903 Results Found

  • Article
  • Open Access
21 Citations
5,809 Views
21 Pages

Accurate Hand Detection from Single-Color Images by Reconstructing Hand Appearances

  • Chi Xu,
  • Wendi Cai,
  • Yongbo Li,
  • Jun Zhou and
  • Longsheng Wei

29 December 2019

Hand detection is a crucial pre-processing procedure for many human hand related computer vision tasks, such as hand pose estimation, hand gesture recognition, human activity analysis, and so on. However, reliably detecting multiple hands from clutte...

  • Article
  • Open Access
11 Citations
5,980 Views
16 Pages

Vision-Based Hand Detection and Tracking Using Fusion of Kernelized Correlation Filter and Single-Shot Detection

  • Mohd Norzali Haji Mohd,
  • Mohd Shahrimie Mohd Asaari,
  • Ong Lay Ping and
  • Bakhtiar Affendi Rosdi

23 June 2023

Hand detection and tracking are key components in many computer vision applications, including hand pose estimation and gesture recognition for human–computer interaction systems, virtual reality, and augmented reality. Despite their importance...

  • Article
  • Open Access
25 Citations
9,100 Views
24 Pages

YOLO Series for Human Hand Action Detection and Classification from Egocentric Videos

  • Hung-Cuong Nguyen,
  • Thi-Hao Nguyen,
  • Rafał Scherer and
  • Van-Hung Le

20 March 2023

Hand detection and classification is a very important pre-processing step in building applications based on three-dimensional (3D) hand pose estimation and hand activity recognition. To automatically limit the hand data area on egocentric vision (EV)...

  • Article
  • Open Access
4 Citations
4,142 Views
20 Pages

Sensor-Based Hand Gesture Detection and Recognition by Key Intervals

  • Yin-Lin Chen,
  • Wen-Jyi Hwang,
  • Tsung-Ming Tai and
  • Po-Sheng Cheng

23 July 2022

This study aims to present a novel neural network architecture for sensor-based gesture detection and recognition. The algorithm is able to detect and classify accurately a sequence of hand gestures from the sensory data produced by accelerometers an...

  • Article
  • Open Access
6 Citations
3,777 Views
20 Pages

Online Hand Gesture Detection and Recognition for UAV Motion Planning

  • Cong Lu,
  • Haoyang Zhang,
  • Yu Pei,
  • Liang Xie,
  • Ye Yan,
  • Erwei Yin and
  • Jing Jin

1 February 2023

Recent advances in hand gesture recognition have produced more natural and intuitive methods of controlling unmanned aerial vehicles (UAVs). However, in unknown and cluttered environments, UAV motion planning requires the assistance of hand gesture i...

  • Article
  • Open Access
65 Citations
9,060 Views
23 Pages

30 November 2019

Recent research on hand detection and gesture recognition has attracted increasing interest due to its broad range of potential applications, such as human-computer interaction, sign language recognition, hand action analysis, driver hand behavior mo...

  • Article
  • Open Access
12 Citations
4,801 Views
22 Pages

Robust 3D Hand Detection from a Single RGB-D Image in Unconstrained Environments

  • Chi Xu,
  • Jun Zhou,
  • Wendi Cai,
  • Yunkai Jiang,
  • Yongbo Li and
  • Yi Liu

7 November 2020

Three-dimensional hand detection from a single RGB-D image is an important technology which supports many useful applications. Practically, it is challenging to robustly detect human hands in unconstrained environments because the RGB-D channels can...

  • Article
  • Open Access
35 Citations
7,916 Views
29 Pages

Media Forensics Considerations on DeepFake Detection with Hand-Crafted Features

  • Dennis Siegel,
  • Christian Kraetzer,
  • Stefan Seidlitz and
  • Jana Dittmann

DeepFake detection is a novel task for media forensics and is currently receiving a lot of research attention due to the threat these targeted video manipulations propose to the trust placed in video footage. The current trend in DeepFake detection i...

  • Article
  • Open Access
31 Citations
7,818 Views
17 Pages

18 April 2020

In this paper, a method to detect frames was described that can be used as hand gesture data when configuring a real-time hand gesture recognition system using continuous wave (CW) radar. Detecting valid frames raises accuracy which recognizes gestur...

  • Article
  • Open Access
22 Citations
5,882 Views
19 Pages

The human hand is involved in many computer vision tasks, such as hand posture estimation, hand movement identification, human activity analysis, and other similar tasks, in which hand detection is an important preprocessing step. It is still difficu...

  • Data Descriptor
  • Open Access
5 Citations
3,726 Views
16 Pages

25 September 2022

Rice field sidewalk (RIFIS) identification plays a crucial role in enhancing the performance of agricultural computer applications, especially for rice farming, by dividing the image into areas of rice fields to be ploughed and the areas outside of r...

  • Article
  • Open Access
6 Citations
3,472 Views
19 Pages

A Sarcopenia Detection System Using an RGB-D Camera and an Ultrasound Probe: Eye-in-Hand Approach

  • Yeoun-Jae Kim,
  • Jueun Choi,
  • Jungwoo Moon,
  • Kyung Rim Sung and
  • Jaesoon Choi

16 July 2021

Skeletal muscle mass deficiency and quality degradation constitute sarcopenia for elderly people. Sarcopenia can result in musculoskeletal damage and accompany various metabolic problems, which make early sarcopenia diagnosis important. Various modal...

  • Article
  • Open Access
4 Citations
3,450 Views
20 Pages

Fast and Accurate ROI Extraction for Non-Contact Dorsal Hand Vein Detection in Complex Backgrounds Based on Improved U-Net

  • Rongwen Zhang,
  • Xiangqun Zou,
  • Xiaoling Deng,
  • Ziyang Wang,
  • Yifan Chen,
  • Chengrui Lin,
  • Hongxin Xing and
  • Fen Dai

10 May 2023

In response to the difficulty of traditional image processing methods to quickly and accurately extract regions of interest from non-contact dorsal hand vein images in complex backgrounds, this study proposes a model based on an improved U-Net for do...

  • Article
  • Open Access
3,108 Views
20 Pages

10 August 2025

This study presents a real-time hand tracking and collision detection system for immersive mixed-reality boxing training on Apple Vision Pro (Apple Inc., Cupertino, CA, USA). Leveraging the device’s advanced spatial computing capabilities, this...

  • Article
  • Open Access
4 Citations
4,210 Views
25 Pages

Real-Time Gesture-Based Hand Landmark Detection for Optimized Mobile Photo Capture and Synchronization

  • Pedro Marques,
  • Paulo Váz,
  • José Silva,
  • Pedro Martins and
  • Maryam Abbasi

12 February 2025

Gesture recognition technology has emerged as a transformative solution for natural and intuitive human–computer interaction (HCI), offering touch-free operation across diverse fields such as healthcare, gaming, and smart home systems. In mobil...

  • Feature Paper
  • Article
  • Open Access
16 Citations
11,744 Views
11 Pages

Hand Motion Detection in fNIRS Neuroimaging Data

  • Mohammadreza Abtahi,
  • Amir Mohammad Amiri,
  • Dennis Byrd and
  • Kunal Mankodiya

As the number of people diagnosed with movement disorders is increasing, it becomes vital to design techniques that allow the better understanding of human brain in naturalistic settings. There are many brain imaging methods such as fMRI, SPECT, and...

  • Article
  • Open Access
13 Citations
4,834 Views
17 Pages

30 April 2023

The detection of an object slipping within the grasp of a prosthetic hand enables the hand to react to ensure the grasp is stable. The computer controller of a prosthetic hand needs to be able to unambiguously detect the slide from other signals. Sli...

  • Article
  • Open Access
7 Citations
3,454 Views
15 Pages

Toward Early and Objective Hand Osteoarthritis Detection by Using EMG during Grasps

  • Néstor J. Jarque-Bou,
  • Verónica Gracia-Ibáñez,
  • Alba Roda-Sales,
  • Vicente Bayarri-Porcar,
  • Joaquín L. Sancho-Bru and
  • Margarita Vergara

22 February 2023

The early and objective detection of hand pathologies is a field that still requires more research. One of the main signs of hand osteoarthritis (HOA) is joint degeneration, which causes loss of strength, among other symptoms. HOA is usually diagnose...

  • Article
  • Open Access
95 Citations
22,600 Views
18 Pages

Real-Time and Embedded Detection of Hand Gestures with an IMU-Based Glove

  • Chaithanya Kumar Mummadi,
  • Frederic Philips Peter Leo,
  • Keshav Deep Verma,
  • Shivaji Kasireddy,
  • Philipp M. Scholl,
  • Jochen Kempfle and
  • Kristof Van Laerhoven

This article focuses on the use of data gloves for human-computer interaction concepts, where external sensors cannot always fully observe the user’s hand. A good concept hereby allows to intuitively switch the interaction context on demand by using...

  • Article
  • Open Access
1 Citations
3,158 Views
11 Pages

Non-Contact Heart Rate Detection Based on Hand Vein Transillumination Imaging

  • Shuqiang Yang,
  • Deqiang Cheng,
  • Jun Wang,
  • Huafeng Qin and
  • Yike Liu

13 September 2021

Vein recognition technology identifies human vein characteristics under near-infrared light and compares it with stored vein information for personal identification. Although this has high anti-counterfeiting performance, it is possible to fabricate...

  • Article
  • Open Access
10 Citations
2,331 Views
10 Pages

Enchondroma Detection from Hand Radiographs with an Interactive Deep Learning Segmentation Tool—A Feasibility Study

  • Turkka Tapio Anttila,
  • Samuli Aspinen,
  • Georgios Pierides,
  • Ville Haapamäki,
  • Minna Katariina Laitinen and
  • Jorma Ryhänen

16 November 2023

Enchondromas are common benign bone tumors, usually presenting in the hand. They can cause symptoms such as swelling and pain but often go un-noticed. If the tumor expands, it can diminish the bone cortices and predispose the bone to fracture. Diagno...

  • Article
  • Open Access
4 Citations
5,820 Views
17 Pages

Active Eye-in-Hand Data Management to Improve the Robotic Object Detection Performance

  • Pourya Hoseini,
  • Janelle Blankenburg,
  • Mircea Nicolescu,
  • Monica Nicolescu and
  • David Feil-Seifer

23 September 2019

Adding to the number of sources of sensory information can be efficacious in enhancing the object detection capability of robots. In the realm of vision-based object detection, in addition to improving the general detection performance, observing obj...

  • Article
  • Open Access
22 Citations
7,349 Views
17 Pages

Development of a Two-Finger Haptic Robotic Hand with Novel Stiffness Detection and Impedance Control

  • Vahid Mohammadi,
  • Ramin Shahbad,
  • Mojtaba Hosseini,
  • Mohammad Hossein Gholampour,
  • Saeed Shiry Ghidary,
  • Farshid Najafi and
  • Ahad Behboodi

18 April 2024

Haptic hands and grippers, designed to enable skillful object manipulation, are pivotal for high-precision interaction with environments. These technologies are particularly vital in fields such as minimally invasive surgery, where they enhance surgi...

  • Article
  • Open Access
2 Citations
4,737 Views
10 Pages

A Hand-Worn Inertial Measurement Unit for Detection of Bat–Ball Impact during Baseball Hitting

  • Niroshan G. Punchihewa,
  • Hideki Arakawa,
  • Etsuo Chosa and
  • Go Yamako

25 April 2021

Swinging a baseball bat at a pitched ball takes less than half of a second. A hitter uses his lower extremities to generate power, and coordination of the swing motion gradually transfers power through the trunk to the upper extremities during bat–ba...

  • Article
  • Open Access
6 Citations
3,261 Views
18 Pages

10 June 2021

This paper presents an effective signal processing scheme of hand gesture recognition with a superior accuracy rate of judging identical and dissimilar hand gestures. This scheme is implemented with the air sonar possessing a pair of cost-effective u...

  • Article
  • Open Access
11 Citations
10,382 Views
32 Pages

Combined Hand Gesture — Speech Model for Human Action Recognition

  • Sheng-Tzong Cheng,
  • Chih-Wei Hsu and
  • Jian-Pan Li

12 December 2013

This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate. Meanwhile, the corresponding relationshi...

  • Article
  • Open Access
7 Citations
2,768 Views
11 Pages

Virtual Monochromatic Images from Dual-Energy Computed Tomography Do Not Improve the Detection of Synovitis in Hand Arthritis

  • Sevtap Tugce Ulas,
  • Katharina Ziegeler,
  • Sophia-Theresa Richter,
  • Sarah Ohrndorf,
  • Fabian Proft,
  • Denis Poddubnyy and
  • Torsten Diekhoff

The objective of this study was to investigate subtraction images from different polychromatic and virtual monochromatic reconstructions of dual-energy computed tomography (CT) for the detection of inflammation (synovitis/tenosynovitis or peritendoni...

  • Article
  • Open Access
7 Citations
6,770 Views
29 Pages

20 August 2016

As the size of smartphone touchscreens has become larger and larger in recent years, operability with a single hand is getting worse, especially for female users. We envision that user experience can be significantly improved if smartphones are able...

  • Article
  • Open Access
11 Citations
7,939 Views
16 Pages

Combining Electromyography and Tactile Myography to Improve Hand and Wrist Activity Detection in Prostheses

  • Noémie Jaquier,
  • Mathilde Connan,
  • Claudio Castellini and
  • Sylvain Calinon

Despite recent advances in prosthetics and assistive robotics in general, robust simultaneous and proportional control of dexterous prosthetic devices remains an unsolved problem, mainly because of inadequate sensorization. In this paper, we study th...

  • Article
  • Open Access
4 Citations
3,123 Views
15 Pages

17 September 2024

Movement intentions of motor impaired individuals can be detected in laboratory settings via electroencephalography Brain–Computer Interfaces (EEG-BCIs) and used for motor rehabilitation and external system control. The real-world BCI use is li...

  • Article
  • Open Access
6 Citations
2,753 Views
15 Pages

11 September 2023

Hand gesture recognition is a vital means of communication to convey information between humans and machines. We propose a novel model for hand gesture recognition based on computer vision methods and compare results based on images with complex scen...

  • Article
  • Open Access
4 Citations
3,787 Views
11 Pages

Detection of Hand Poses with a Single-Channel Optical Fiber Force Myography Sensor: A Proof-of-Concept Study

  • Matheus K. Gomes,
  • Willian H. A. da Silva,
  • Antonio Ribas Neto,
  • Julio Fajardo,
  • Eric Rohmer and
  • Eric Fujiwara

18 November 2022

Force myography (FMG) detects hand gestures based on muscular contractions, featuring as an alternative to surface electromyography. However, typical FMG systems rely on spatially-distributed arrays of force-sensing resistors to resolve ambiguities....

  • Article
  • Open Access
2 Citations
2,349 Views
19 Pages

Development and Assessment of a Soft Wearable for sEMG-Based Hand Grip Detection and Control of a Virtual Environment

  • Lohith Chatragadda,
  • Aiden Fletcher,
  • Sam Zhong,
  • Fabian A. Vargas,
  • Nishtha Bhagat,
  • Kunal Mankodiya,
  • Matthew J. Delmonico and
  • Dhaval Solanki

12 April 2025

Background: As the number of individuals diagnosed with neurodegenerative disorders (NDs) rises, there is a growing need to enhance both the quantity and quality of approaches used to treat these debilitating conditions. The progression of NDs can ca...

  • Article
  • Open Access
35 Citations
8,806 Views
16 Pages

Deep Learning for Highly Accurate Hand Recognition Based on Yolov7 Model

  • Christine Dewi,
  • Abbott Po Shun Chen and
  • Henoch Juli Christanto

Hand detection is a key step in the pre-processing stage of many computer vision tasks because human hands are involved in the activity. Some examples of such tasks are hand posture estimation, hand gesture recognition, human activity analysis, and o...

  • Communication
  • Open Access
3 Citations
2,386 Views
13 Pages

29 July 2023

When studying hand kinematics, it is key to differentiate between free motion and manipulation. This differentiation can be achieved using pressure sensors or through visual analysis in the absence of sensors. Certain data gloves, such as the CyberGl...

  • Article
  • Open Access
30 Citations
4,527 Views
19 Pages

28 November 2022

The abnormal growth of cells in the skin causes two types of tumor: benign and malignant. Various methods, such as imaging and biopsies, are used by oncologists to assess the presence of skin cancer, but these are time-consuming and require extra hum...

  • Article
  • Open Access
21 Citations
3,280 Views
18 Pages

Recursive Feature Elimination for Improving Learning Points on Hand-Sign Recognition

  • Rung-Ching Chen,
  • William Eric Manongga and
  • Christine Dewi

26 November 2022

Hand gestures and poses allow us to perform non-verbal communication. Sign language is becoming more important with the increase in the number of deaf and hard-of-hearing communities. However, learning to understand sign language is very difficult an...

  • Feature Paper
  • Article
  • Open Access
3 Citations
1,985 Views
14 Pages

Non-Invasive Detection of Nitrogen Deficiency in Cannabis sativa Using Hand-Held Raman Spectroscopy

  • Graham Antoszewski,
  • James F. Guenther,
  • John K. Roberts,
  • Mickal Adler,
  • Michael Dalle Molle,
  • Nicholas S. Kaczmar,
  • William B. Miller,
  • Neil S. Mattson and
  • Heather Grab

16 October 2024

Proper crop management requires rapid detection methods for abiotic and biotic stresses to ensure plant health and yield. Hemp (Cannabis sativa L.) is an emerging economically and environmentally sustainable crop capable of yielding high biomass. Nit...

  • Article
  • Open Access
82 Citations
11,718 Views
21 Pages

14 February 2020

Grasping force control is important for multi-fingered robotic hands to stabilize the grasped object. Humans are able to adjust their grasping force and react quickly to instabilities through tactile sensing. However, grasping force control through t...

  • Article
  • Open Access
1 Citations
2,453 Views
15 Pages

2 October 2024

Monitoring of the vital signs or environment of disabled people is currently very popular because it increases their safety, improves their quality of life and facilitates remote care. The article proposes a system for automatic protection against bu...

  • Article
  • Open Access
18 Citations
5,341 Views
16 Pages

16 October 2019

To improve the accuracy and robustness of hand–eye calibration, a hand–eye calibration method based on Schur matric decomposition is proposed in this paper. The accuracy of these methods strongly depends on the quality of observation data...

  • Article
  • Open Access
20 Citations
8,370 Views
13 Pages

Development of Real-Time Hand Gesture Recognition for Tabletop Holographic Display Interaction Using Azure Kinect

  • Chanhwi Lee,
  • Jaehan Kim,
  • Seoungbae Cho,
  • Jinwoong Kim,
  • Jisang Yoo and
  • Soonchul Kwon

14 August 2020

The use of human gesturing to interact with devices such as computers or smartphones has presented several problems. This form of interaction relies on gesture interaction technology such as Leap Motion from Leap Motion, Inc, which enables humans to...

  • Review
  • Open Access
4 Citations
12,197 Views
18 Pages

A Review of Methods Used to Detect Methamphetamine from Indoor Air and Textiles in Confined Spaces

  • Gemma L. Kerry,
  • Kirstin E. Ross,
  • Jackie L. Wright and
  • G. Stewart Walker

21 November 2022

Methamphetamine manufacture, use, and the resulting contamination is a significant issue that affects public health, the environment, and the economy. Third-hand exposure to methamphetamine can result in adverse health risks for individuals and first...

  • Article
  • Open Access
13 Citations
2,963 Views
31 Pages

Give Me a Sign: Using Data Gloves for Static Hand-Shape Recognition

  • Philipp Achenbach,
  • Sebastian Laux,
  • Dennis Purdack,
  • Philipp Niklas Müller and
  • Stefan Göbel

15 December 2023

Human-to-human communication via the computer is mainly carried out using a keyboard or microphone. In the field of virtual reality (VR), where the most immersive experience possible is desired, the use of a keyboard contradicts this goal, while the...

  • Article
  • Open Access
1 Citations
2,970 Views
18 Pages

3 January 2024

The existing question-and-answer screening test has a limitation in that test accuracy varies due to a high learning effect and based on the inspector’s competency, which can have consequences for rapid-onset cognitive-related diseases. To solv...

  • Article
  • Open Access
1 Citations
1,448 Views
14 Pages

26 February 2025

The motor cortex of non-human primates plays a key role in brain–machine interface (BMI) research. In addition to recording cortical neural signals, accurately and efficiently capturing the hand movements of experimental animals under unconstra...

  • Article
  • Open Access

AI in Diagnostic Radiology: What Happens When Algorithms Are Updated

  • Martine Rustøen Skregelid,
  • Kasim Ibrahim-Pur,
  • Flemming Skjøth,
  • Malene Roland Vils Pedersen and
  • Helle Precht

Background: Interpretation of radiographs is prone to diagnostic errors. Artificial intelligence (AI) has shown promising results in fracture detection, although systematic evaluation of software updates remains limited. This study compares the diagn...

  • Feature Paper
  • Article
  • Open Access
4 Citations
3,481 Views
10 Pages

3D Migration Depth Focus Velocity Analysis of Hand-Held Ground Penetrating Radar

  • Zejun Dong,
  • Xuan Feng,
  • Haoqiu Zhou,
  • Lilong Zou and
  • Motoyuki Sato

Hand-held ground penetrating radar (GPR) systems have been widely applied to landmine detections during recent decades. The accuracy of an imaging result by migration for a hand-held GPR is strongly related to the accuracy of subsurface velocity dist...

  • Article
  • Open Access
48 Citations
8,862 Views
16 Pages

A Comparison of Terrain Indices toward Their Ability in Assisting Surface Water Mapping from Sentinel-1 Data

  • Chang Huang,
  • Ba Duy Nguyen,
  • Shiqiang Zhang,
  • Senmao Cao and
  • Wolfgang Wagner

The Sentinel-1 mission provides frequent coverage of global land areas and is hence able to monitor surface water dynamics at a fine spatial resolution better than any other Synthetic Aperture Radar (SAR) mission before. However, SAR data acquired by...

  • Article
  • Open Access
3 Citations
4,461 Views
15 Pages

8 June 2023

Patients with asymmetric glaucomatous optic neuropathy (GON) present a relative afferent pupillary defect (RAPD) in the eye with more advanced damage. Although useful, pupillometric RAPD quantification is not widely used as it is not portable. Whethe...

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