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Relevant bibliographies by topics / Sensing glove

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Academic literature on the topic 'Sensing glove'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Sensing glove"

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Lee, Seulah, Yuna Choi, Minchang Sung, Jihyun Bae, and Youngjin Choi. "A Knitted Sensing Glove for Human Hand Postures Pattern Recognition." Sensors 21, no. 4 (2021): 1364. http://dx.doi.org/10.3390/s21041364.

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In recent years, flexible sensors for data gloves have been developed that aim to achieve excellent wearability, but they are associated with difficulties due to the complicated manufacturing and embedding into the glove. This study proposes a knitted glove integrated with strain sensors for pattern recognition of hand postures. The proposed sensing glove is fabricated at all once by a knitting technique without sewing and bonding, which is composed of strain sensors knitted with conductive yarn and a glove body with non-conductive yarn. To verify the performance of the developed glove, electr

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Yu, Hui, Daifu Zheng, Yun Liu, and Shimeng Chen. "Data Glove Based on Flexible Fiber Optic Sensor for Gesture Capture." Journal of Physics: Conference Series 2464, no. 1 (2023): 012022. http://dx.doi.org/10.1088/1742-6596/2464/1/012022.

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Abstract The development of data glove is very rapid, and it is widely used in the field of human-robot interaction. Flexible optical fiber sensors are widely used in data gloves. Hereby, a flexible data glove based on space-division multiplexed flexible optical fiber sensor is proposed. The fiber exhibits high optical transmission stability and good sensing performance under deformation. Our data glove accurately recognizes and tracks gestures, and then guide the manipulator to make the same gesture. It is believed that the application of data glove will be more widespread.

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Widodo, Ranu Tri, Lobes Herdiman, and Susy Susmartini. "Method of Selecting Gloves Based on Pressure on The Palms Using A Measuring Instrument with A Force Sensing Resistor." Jurnal Ilmiah Teknik Industri 21, no. 1 (2022): 91–96. http://dx.doi.org/10.23917/jiti.v21i1.17320.

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Assembly is a common activity in manufacturing companies. The use of handtools during assembly creates pressure on the palms surface which can lead to injury. To reduce the risk of injury, operators need to use gloves as personal protective equipment. Regardless of the general function of the glove, the type of glove tends to be chosen specifically for each task. But there is no specific method to determine the right gloves for certain activities. It is important to know the effect of using gloves on the palms surface during work activities. So this study aims to design a measuring instrument

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Moriyama, Taha, and Hiroyuki Kajimoto. "HARVEST: High-Resolution Haptic Vest and Fingertip Sensing Glove That Transfers Tactile Sensation of Fingers to the Back." Applied Sciences 11, no. 3 (2021): 1298. http://dx.doi.org/10.3390/app11031298.

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Human fingertips are densely populated with tactile receptors and are hence incredibly sensitive. However, wearing gloves on the fingers drastically reduces the tactile information available to the fingertips, such as the texture and shape of the object, and makes it difficult to perform dexterous work. As a solution, in this study, we developed a high-resolution haptic vest that transfers the tactile sensation of the fingertips to the back. The haptic vest contains 80 voice-coil type vibrators which are located at each of the two discrimination thresholds on the back and can be driven indepen

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Sagisaka, Takashi, Yoshiyuki Ohmura, Akihiko Nagakubo, Yasuo Kuniyoshi, and Kazuyuki Ozaki. "High-density Conformable Tactile Sensing Glove." Journal of the Robotics Society of Japan 30, no. 7 (2012): 711–17. http://dx.doi.org/10.7210/jrsj.30.711.

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Wu, Changcheng, Keer Wang, Qingqing Cao, et al. "Development of a Low-Cost Wearable Data Glove for Capturing Finger Joint Angles." Micromachines 12, no. 7 (2021): 771. http://dx.doi.org/10.3390/mi12070771.

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Capturing finger joint angle information has important applications in human–computer interaction and hand function evaluation. In this paper, a novel wearable data glove is proposed for capturing finger joint angles. A sensing unit based on a grating strip and an optical detector is specially designed for finger joint angle measurement. To measure the angles of finger joints, 14 sensing units are arranged on the back of the glove. There is a sensing unit on the back of each of the middle phalange, proximal phalange, and metacarpal of each finger, except for the thumb. For the thumb, two sensi

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Guo, Kai, Senhao Zhang, Shasha Zhao, and Hongbo Yang. "Design and Manufacture of Data Gloves for Rehabilitation Training and Gesture Recognition Based on Flexible Sensors." Journal of Healthcare Engineering 2021 (December 7, 2021): 1–9. http://dx.doi.org/10.1155/2021/6359403.

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This work takes the production and usage scenarios of the data glove as the research object and studies the method of applying the flexible sensor to the data glove. Many studies are also devoted to exploring the transplantation of flexible sensors to data gloves. However, this type of research still lacks the display of specific application scenarios such as gesture recognition or hand rehabilitation training. A small amount of experimental data and theoretical analysis are difficult to promote the development of flexible sensors and flexible data gloves design schemes. Therefore, this study

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Zou, Rui, Yubin Liu, Ying Li, Guoqing Chu, Jie Zhao, and Hegao Cai. "A Novel Human Intention Prediction Approach Based on Fuzzy Rules through Wearable Sensing in Human–Robot Handover." Biomimetics 8, no. 4 (2023): 358. http://dx.doi.org/10.3390/biomimetics8040358.

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With the use of collaborative robots in intelligent manufacturing, human–robot interaction has become more important in human–robot collaborations. Human–robot handover has a huge impact on human–robot interaction. For current research on human–robot handover, special attention is paid to robot path planning and motion control during the handover process; seldom is research focused on human handover intentions. However, enabling robots to predict human handover intentions is important for improving the efficiency of object handover. To enable robots to predict human handover intentions, a nove

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Han, Xiaoxue, Xuhong Miao, Xi Chen, Gaoming Jiang, and Li Niu. "Research on finger movement sensing performance of conductive gloves." Journal of Engineered Fibers and Fabrics 14 (January 2019): 155892501988762. http://dx.doi.org/10.1177/1558925019887622.

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Knitted flexible sensors are sensors based on the loop structure of knitted fabric, which are soft and close-fitting. Monitoring finger motion can obtain useful information for some applications such as rehabilitation medicine, sports bionics, or human–computer interaction. In this paper, a conductive glove was knitted by SHIMA Seiki SWG 061N-15G computerized flat knitting machine. One experimenter wore it to measure motions data of index finger. The glove has a conductive intarsia area knitted by silver-nylon filaments. The experimenter performed static and dynamic test of hand posture, respe

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da Silva, A. F., A. F. Goncalves, P. M. Mendes, and J. H. Correia. "FBG Sensing Glove for Monitoring Hand Posture." IEEE Sensors Journal 11, no. 10 (2011): 2442–48. http://dx.doi.org/10.1109/jsen.2011.2138132.

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Dissertations / Theses on the topic "Sensing glove"

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Hall, Rick Stephen. "Design of a force-sensing glove for ergonomic evaluation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0012/MQ61437.pdf.

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Henriksson, Michael, and Michael Fransson. "Force-Sensing Rehabilitation Glove : A tool to facilitate rehabilitation of reduced hand strength." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254287.

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This thesis examines how the pressure sensors can be used in rehabilitation for patients with weakened hand strength. The rehabilitation process usually contains everyday tasks to evaluate the patient’s capability and the tools for this part of the rehabilitation process are few. The challenges will be to find a suitable sensor for the application and how to implement the sensor in a versatile prototype with direct feedback for the user. To solve this problem, research will be conducted on different pressure sensor types to determine the most suitable one for this implementation. The resulting

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Scaramuzza, Matteo. "Electrical modeling and experimental studies of sensing systems for biological and biomedical applications." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3423443.

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The core of my research activity during the Ph.D. period has been the detection of biological interactions phenomena using electrical transducers, i.e. biosensors. I have studied different aspects of the electrical transduction process, in order to optimize the detection by improving biosensors selectivity and frequency response. I have started my Thesis work by studying the fundamental theories of electrochemical interfaces between biosensor electrodes and liquid samples, e.g., Helmholtz double layer and Warburg frequency dispersion, in order to understand the electron transfer mechanisms in

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Cochran, Nancy E. "Detection of Urban Heat Islands in the Great Lakes Region with GLOBE Student Surface Temperature Measurements." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418421488.

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Cordisco, Emmanuel. "Etude de la synergie des observations satellites pour la caractérisation du manteau neigeux." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2005. http://tel.archives-ouvertes.fr/tel-00089376.

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La neige étant une composante importante du climat terrestre, il convient de l'étudier à l'échelle du globe pour en comprendre son rôle.<br /><br />Ces travaux visent ainsi à étudier le contenu en information sur le manteau neigeux à l'échelle globale des observations satellites réalisées à partir de différents instruments couvrant différents domaines du spectre électromagnétique (visible, infrarouge et micro-ondes). Des paramètres autres que la neige interférant dans la problématique, il est nécessaire de les déterminer afin d'encadrer leurs influences. Ensuite, on cherchera comment limiter l

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Tseng, Chun-fu, and 曾俊富. "Strain-Sensing Fabric Glove Applies to the Virtual Keyboard." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/14844963229089683508.

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碩士<br>國立中正大學<br>機械工程所<br>96<br>This paper develop a 3D interactive device which combine sensing glove and accelerometers applying in virtual reality system .The sensing glove is necessary equipment in virtual reality. Many sensing gloves based on the different theories have developed in commercial, but most of them are mechanism devices, it is easy to obtain the position and velocity to modeling. In this paper, we developed a new sensing glove with innovative theorem, and use strain-sensing fabric property. We use morphing algorithm to continuously deform the STL model for hand and employ the

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Pax, Ralph Anthony. "A pressure sensing glove using conductive polymer pressure sensors." 1989. http://catalog.hathitrust.org/api/volumes/oclc/22855111.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 1989.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 17-19).

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LU, HUNG HAN, and 呂泓翰. "A Novel Wearable Sensing Glove to Measure Acupuncture Bio-Potentials and Impedances of a Whole Palm for Health Monitor." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/64857969254578257451.

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碩士<br>中華大學<br>電機工程學系碩士班<br>102<br>This paper proposes a novel wearable sensing technology on a glove to measure the acupuncture bio-potentials and impedances of a whole palm in a non-invasive manner [1-2]. Moreover, the device can transmit these acupuncture information to a remote control station for health condition analysis and monitor[3-4]. According to the ancient Chinese medical knowledge there are twelve standard meridians (also called principal meridians) on a person, both six on each hand and foot. The meridians can be divided into Yin and Yang groups. The Yin meridians on the hand (or

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Books on the topic "Sensing glove"

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Dietachmair, Pascal Gielen Philipp. Sensing Earth: Cultural Quests Across a Heated Globe. Valiz, 2023.

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Book chapters on the topic "Sensing glove"

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Vanello, Nicola, Valentina Hartwig, Enzo Pasquale Scilingo, et al. "FMRI Compatible Sensing Glove for Hand Gesture Monitoring." In Springer Series on Touch and Haptic Systems. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2754-3_12.

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Sagisaka, Takashi, Yoshiyuki Ohmura, Akihiko Nagakubo, Kazuyuki Ozaki, and Yasuo Kuniyoshi. "Development and Applications of High-Density Tactile Sensing Glove." In Haptics: Perception, Devices, Mobility, and Communication. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31401-8_40.

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Yao, Xinwei, Ming Chen, Chuan Cao, et al. "Multi-modal Sensing-Based Interactive Glove System for Teleoperation and VR/AR." In Lecture Notes in Computer Science. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-46839-1_15.

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Li, Xiangli, Yufei Hao, Hui Wang, and Jianhua Zhang. "Master-Slave Control of Soft Robotic Glove Based on Carbon Black Strain Sensing." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0780-8_16.

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Hao, Zengchao, Yang Hong, Qiuhong Tang, et al. "Satellite Remote Sensing Drought Monitoring and Predictions over the Globe." In Hydrologic Remote Sensing. CRC Press, 2016. http://dx.doi.org/10.1201/9781315370392-16.

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Mura, G. Dalle, F. Lorussi, A. Tognetti, et al. "Piezoresistive Goniometer Network for Sensing Gloves." In IFMBE Proceedings. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00846-2_382.

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Cavender-Bares, Jeannine, John A. Gamon, and Philip A. Townsend. "The Use of Remote Sensing to Enhance Biodiversity Monitoring and Detection: A Critical Challenge for the Twenty-First Century." In Remote Sensing of Plant Biodiversity. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33157-3_1.

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AbstractImproved detection and monitoring of biodiversity is critical at a time when the Earth’s biodiversity loss due to human activities is accelerating at an unprecedented rate. We face the largest loss of biodiversity in human history, a loss which has been called the “sixth mass extinction” (Leakey 1996; Kolbert 2014), given that its magnitude is in proportion to past extinction episodes in Earth history detectable from the fossil record. International efforts to conserve biodiversity (United Nations 2011) and to develop an assessment process to document changes in the status and trends o

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Burdea Grigore, Deshpande Sonal, Popescu Viorel, et al. "Computerized Hand Diagnostic/Rehabilitation System Using a Force Feedback Glove." In Studies in Health Technology and Informatics. IOS Press, 1997. https://doi.org/10.3233/978-1-60750-883-0-141.

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This paper describes recent results of a unified computerized system for hand diagnosis and rehabilitation. Automatic diagnosis data collection and Virtual Reality rehabilitation exercises are the main characteristics of the system. The diagnosis subsystem includes a tactile sensing glove in addition to standard devices such as electronic dynamometer, pinchmeter and goniometer. Three standard rehabilitation exercises were simulated in a Virtual Reality environment, using the WorldToolKit graphics library. The first two exercises (ball squeezing and DigiKey) allow measurement of finger forces e

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S.M, Revathi, Srinivasan R, Balamurugan C.R, and Kareemullah H. "Driver Stress Detection Based on IOT Motion Sensor Using Wearable Glove." In Applications of Artificial Intelligence and Machine Learning in Healthcare. Technoarete Publishing, 2022. http://dx.doi.org/10.36647/aaimlh/2022.01.b1.ch002.

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Stress conditions experienced by the driver is a serious problem in road safety. Driver error is the most common cause of road accidents. In this paper skin conductance is taken for analysis of driver drowsiness fatigue and mental stress. In order to minimize human error while driving it monitors stress and fatigue by measuring physiological parameters like skin acting like a conductor gives a response also called as Galvanic skin response and the motion is continuously monitored over a period of time. Internet of Things (IOT) based sensor used in driver’s health care is novel approach from th

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Merians Alma S., Tunik Eugene, and Adamovich Sergei V. "Virtual Reality to Maximize Function for Hand and Arm Rehabilitation: Exploration of Neural Mechanisms." In Studies in Health Technology and Informatics. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-018-6-109.

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Stroke patients report hand function as the most disabling motor deficit. Current evidence shows that learning new motor skills is essential for inducing functional neuroplasticity and functional recovery. Adaptive training paradigms that continually and interactively move a motor outcome closer to the targeted skill are important to motor recovery. Computerized virtual reality simulations when interfaced with robots, movement tracking and sensing glove systems, are particularly adaptable, allowing for online and offline modifications of task based activities using the participant's current pe

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Conference papers on the topic "Sensing glove"

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Kagami, Motoki, Zeping Yu, Sim Teck Ceng, and Lei Jing. "Sign Language Vocabulary Recognition Only with Tactile Sensing Glove." In 2024 IEEE 17th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). IEEE, 2024. https://doi.org/10.1109/mcsoc64144.2024.00029.

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Angkanapiwat, Yanisa, Ariel Slepyan, Rebecca J. Greene, and Nitish Thakor. "SensoPatch: A Reconfigurable Haptic Feedback with High-Density Tactile Sensing Glove." In 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2024. https://doi.org/10.1109/biocas61083.2024.10798282.

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Priya, S., P. Sherin Heera, and Rj Hemalatha. "Sensing of Surface Texture using Smart Glove for Post Stroke Rehabilitation." In 2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM). IEEE, 2025. https://doi.org/10.1109/ictmim65579.2025.10988294.

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Li, Hexin, Li Jiang, Ruichen Zhen, Ming Cheng, and Kehan Ding. "Design of A Rigid-soft Hybrid Robotic Glove with Force Sensing Function." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610415.

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Tokunaga, Kazuki, Ryu Ozaki, Yuki Kamihoriuchi, Takumi Kawasetsu, and Koh Hosoda. "Hand Tracking System Utilizing Learning Based on Vision Sensing and Ionic Gel Sensor Glove." In 2025 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2025. https://doi.org/10.1109/sii59315.2025.10871040.

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Sharma, Shital, Gagan Bahadur Pradhan, Trilochan Bhatta, and Jae Yeong Park. "A Bifunctional Organohydrogel-Based Triboelectric Strain Sensing Glove for Sign Language Interpretation and Human-Machine Interfacing." In 2025 IEEE 38th International Conference on Micro Electro Mechanical Systems (MEMS). IEEE, 2025. https://doi.org/10.1109/mems61431.2025.10917359.

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Ravichandran, Vignesh, Shubham Chomal, Rachel Arruda, et al. "KinGloves: Rapid Prototyping of Usability Enhanced Sensing Gloves for Parkinson's Disease." In 2024 International Conference on the Challenges, Opportunities, Innovations and Applications in Electronic Textiles (E-Textiles). IEEE, 2024. https://doi.org/10.23919/e-textiles63767.2024.10914184.

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Wang, Dapeng, Yupeng Fu, Bo Yang, Teng Liu, Chuizhou Meng, and Shijie Guo. "A Hand Motion Recognition System Combining Wearable Sensing Gloves and Template Matching Algorithm." In 2024 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2024. http://dx.doi.org/10.1109/icma61710.2024.10633126.

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Tareke, Bedru, Paulo Silva Filho, Claudio Persello, et al. "User and Data-Centric Artificial Intelligence for Mapping Urban Deprivation in Multiple Cities Across the Globe." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640428.

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Sagisaka, Takashi, Yoshiyuki Ohmura, Yasuo Kuniyoshi, Akihiko Nagakubo, and Kazuyuki Ozaki. "High-density conformable tactile sensing glove." In 2011 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011). IEEE, 2011. http://dx.doi.org/10.1109/humanoids.2011.6100898.

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