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1

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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Sarih, Norfatirah Muhamad, Nuur Syuhada Dzulkafly, Simon Maher, and Azura A. Rashid. "Wearable Natural Rubber Latex Gloves with Curcumin for Torn Glove Detection in Clinical Settings." Polymers 14, no. 15 (2022): 3048. http://dx.doi.org/10.3390/polym14153048.

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Glove tear or perforation is a common occurrence during various activities that require gloves to be worn, posing a significant risk to the wearer and possibly others. This is vitally important in a clinical environment and particularly during surgical procedures. When a glove perforation occurs (and is noticed), the glove must be replaced as soon as possible; however, it is not always noticeable. The present article is focused on the design and development of a novel fluorescence-based sensing mechanism, which is integrated within the glove topology, to help alert the wearer of a perforation
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Wang, Hongyue, Zhiquan Feng, Jinglan Tian, and Xue Fan. "MFA: A Smart Glove with Multimodal Intent Sensing Capability." Computational Intelligence and Neuroscience 2022 (July 11, 2022): 1–15. http://dx.doi.org/10.1155/2022/3545850.

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At present, virtual-reality fusion smart experiments mostly employ visual perception devices to collect user behavior data, but this method faces the obstacles of distance, angle, occlusion, light, and a variety of other factors of indoor interactive input devices. Moreover, the essence of the traditional multimodal fusion algorithm (TMFA) is to analyze the user’s experimental intent serially using single-mode information, which cannot fully utilize the intent information of each mode. Therefore, this paper designs a multimodal fusion algorithm (hereinafter referred to as MFA, Algorithm 4) whi
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Bianchi, Matteo, Paolo Salaris, and Antonio Bicchi. "Synergy-based hand pose sensing: Optimal glove design." International Journal of Robotics Research 32, no. 4 (2013): 407–24. http://dx.doi.org/10.1177/0278364912474079.

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14

Ben-Tzvi, Pinhas, and Zhou Ma. "Sensing and Force-Feedback Exoskeleton (SAFE) Robotic Glove." IEEE Transactions on Neural Systems and Rehabilitation Engineering 23, no. 6 (2015): 992–1002. http://dx.doi.org/10.1109/tnsre.2014.2378171.

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15

Aw, Kean, Jessica Budd, and Thomas Wilshaw-Sparkes. "Data Glove Using Soft and Stretchable Piezoresistive Sensors." Micromachines 13, no. 3 (2022): 372. http://dx.doi.org/10.3390/mi13030372.

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This research investigates the design and implementation of elastomer-based piezoresistive strain sensors and applies them to a data glove to demonstrate their application. The piezoresistive strain sensors are made by mixing Ecoflex 00-30 and carbon-black nanoparticles and then using stencil and doctor blading to deposit the piezoresistive traces as a mass fabrication technique. The primary objective is to integrate two sensing piezoresistive elements as one single-piece sensor that detects the bending angles of the metacarpophalangeal and proximal interphalangeal joints of each finger. Using
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16

Liu, Jiaxi, Mya Verrett, Alyssa Wieand, et al. "Longitudinal monitoring of hypertonia through a multimodal sensing glove." Biosensors and Bioelectronics 267 (January 2025): 116829. http://dx.doi.org/10.1016/j.bios.2024.116829.

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17

Rao, Hongcheng, Binbin Luo, Decao Wu, et al. "Study on the Design and Performance of a Glove Based on the FBG Array for Hand Posture Sensing." Sensors 23, no. 20 (2023): 8495. http://dx.doi.org/10.3390/s23208495.

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This study introduces a new wearable fiber-optic sensor glove. The glove utilizes a flexible material, polydimethylsiloxane (PDMS), and a silicone tube to encapsulate fiber Bragg gratings (FBGs). It is employed to enable the self-perception of hand posture, gesture recognition, and the prediction of grasping objects. The investigation employs the Support Vector Machine (SVM) approach for predicting grasping objects. The proposed fiber-optic sensor glove can concurrently monitor the motion of 14 hand joints comprising 5 metacarpophalangeal joints (MCP), 5 proximal interphalangeal joints (PIP),
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18

Maryam, Hanan Yahya, Hamzah Norhazimi, Othman Azizul, Diyana Rosli Anis, Baharudin Rohaiza, and Izhar Che Ani Adi. "Design and Development ofa Mirror Effect Control Prosthetic Hand with Force Sensing." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 2 (2017): 949–56. https://doi.org/10.12928/TELKOMNIKA.v15i2.6150.

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Some of the already available prosthetic hands in the market are operated in open loop, without any feedback and expensive. This system counters those by having the prosthetic hand printed using 3D printer and consist of a feedback sensor to make it a closed loop system. The system generally consists of two sections, mainly Finger Input and Prosthetic Output. The two sections communicate wirelessly for data transferring. The main purpose of the system is to control the prosthetic hand wirelessly using the Mirror Glove by performing a mirror effect that will translate movement from the glove on
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19

Ling, Hao, Jie Li, Chuanxin Guo, Yuntian Wang, Tao Chen, and Minglu Zhu. "Minimalist Design for Multi-Dimensional Pressure-Sensing and Feedback Glove with Variable Perception Communication." Actuators 13, no. 11 (2024): 454. http://dx.doi.org/10.3390/act13110454.

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Immersive human–machine interaction relies on comprehensive sensing and feedback systems, which enable transmission of multiple pieces of information. However, the integration of increasing numbers of feedback actuators and sensors causes a severe issue in terms of system complexity. In this work, we propose a pressure-sensing and feedback glove that enables multi-dimensional pressure sensing and feedback with a minimalist design of the functional units. The proposed glove consists of modular strain and pressure sensors based on films of liquid metal microchannels and coin vibrators. Strain se
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20

Cazacu, Eduard, Coen van der Grinten, Jeroen Bax, Guus Baeten, Fred Holtkamp, and Chris Lee. "A Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment." Sensors 21, no. 19 (2021): 6631. http://dx.doi.org/10.3390/s21196631.

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A position sensing glove called SmartScan, which creates a 3D virtual model of a real object, is presented. The data from the glove is processed by a volume minimization algorithm to validate the position sensor data. This allows only data from the object’s surface to be retained. The data validation algorithm allows the user to progressively improve an image by repeatedly moving their hand over the object. In addition, the user can choose their own balance between feature resolution and invalid data rejection. The SmartScan glove is tested on a foot model and is shown to be robust against mot
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21

Rahemtulla, Zahra, Theodore Hughes-Riley, and Tilak Dias. "Vibration-Sensing Electronic Yarns for the Monitoring of Hand Transmitted Vibrations." Sensors 21, no. 8 (2021): 2780. http://dx.doi.org/10.3390/s21082780.

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Overexposure to hand transmitted vibrations (HTVs) from prolonged use of vibrating power tools can result in severe injuries. By monitoring the exposure of a worker to HTVs, overexposure, and injury, can be mitigated. An ideal HTV-monitoring system would measure vibration were it enters the body, which for many power tools will be the palm and fingers, however this is difficult to achieve using conventional transducers as they will affect the comfort of the user and subsequently alter the way that the tool is held. By embedding a transducer within the core of a textile yarn, that can be used t
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Liao, Xinqin, Weitao Song, Xiangyu Zhang, Hua Huang, Yongtian Wang, and Yuanjin Zheng. "Directly printed wearable electronic sensing textiles towards human–machine interfaces." Journal of Materials Chemistry C 6, no. 47 (2018): 12841–48. http://dx.doi.org/10.1039/c8tc02655f.

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23

Ferreira, Fausto, Igor Kvasić, Đula Nađ, et al. "Diver‐Robot Communication Using Wearable Sensing: Remote Pool Experiments." Marine Technology Society Journal 56, no. 5 (2022): 26–35. http://dx.doi.org/10.4031/mtsj.56.5.5.

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Abstract Diver‐robot interaction is an exciting and recent field of study. There are different ways a diver and robot can interact, such as using tablets or detecting divers with cameras or sonars. A novel approach presented in this paper uses direct diver‐robot communication. To facilitate communication for humans, we use typical diver gestures, which are transmitted to a robot using a wearable glove and acoustic communications. Following previous work by the University of Zagreb and the University of Auckland, a collaboration to control an autonomous underwater vehicle based on a wearable di
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Fei, Fei, Sifan Xian, Xiaojian Xie, et al. "Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment." Micromachines 12, no. 4 (2021): 362. http://dx.doi.org/10.3390/mi12040362.

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In traditional hand function assessment, patients and physicians always need to accomplish complex activities and rating tasks. This paper proposes a novel wearable glove system for hand function assessment. A sensing system consisting of 12 nine-axis inertial and magnetic unit (IMMU) sensors is used to obtain the acceleration, angular velocity, and geomagnetic orientation of human hand movements. A complementary filter algorithm is applied to calculate the angles of joints after sensor calibration. A virtual hand model is also developed to map with the glove system in the Unity platform. The
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Steffen, Büchner, Gibas Christian, Brück Rainer, Nemcová Nina, Müller Wolfram, and Schürholz Katrin. "Wearable Pressure Sensing for Vojta Therapy Guidance." Current Directions in Biomedical Engineering 6, no. 3 (2020): 87–90. http://dx.doi.org/10.1515/cdbme-2020-3023.

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AbstractThe authors propose a glove with pressure sensitive fingertips and muscle tension detection of the thumb to aid in the physiotherapy of infants, children and adults according to Vojta. The therapy has to be carried out at home by the parents of children with cerebral palsy, or other movement disturbances up to 4 times per day. Often, parents struggle to carry out the practices because of insecurities regarding the therapy’s proper application. The presented glove is tailored towards the specific needs of Vojta therapy, e.g. flexibility and small sensor size, and can help parents gather
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Bianchi, Matteo, Robert Haschke, Gereon Büscher, Simone Ciotti, Nicola Carbonaro, and Alessandro Tognetti. "A Multi-Modal Sensing Glove for Human Manual-Interaction Studies." Electronics 5, no. 4 (2016): 42. http://dx.doi.org/10.3390/electronics5030042.

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Carrera, Albano, Alonso Alonso, Ramón de la Rosa, and Evaristo Abril. "Sensing Performance of a Vibrotactile Glove for Deaf-Blind People." Applied Sciences 7, no. 4 (2017): 317. http://dx.doi.org/10.3390/app7040317.

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Glauser, Oliver, Shihao Wu, Daniele Panozzo, Otmar Hilliges, and Olga Sorkine-Hornung. "Interactive hand pose estimation using a stretch-sensing soft glove." ACM Transactions on Graphics 38, no. 4 (2019): 1–15. http://dx.doi.org/10.1145/3306346.3322957.

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Bariya, Mallika, Lu Li, Rahul Ghattamaneni, et al. "Glove-based sensors for multimodal monitoring of natural sweat." Science Advances 6, no. 35 (2020): eabb8308. http://dx.doi.org/10.1126/sciadv.abb8308.

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Sweat sensors targeting exercise or chemically induced sweat have shown promise for noninvasive health monitoring. Natural thermoregulatory sweat is an attractive alternative as it can be accessed during routine and sedentary activity without impeding user lifestyles and potentially preserves correlations between sweat and blood biomarkers. We present simple glove-based sensors to accumulate natural sweat with minimal evaporation, capitalizing on high sweat gland densities to collect hundreds of microliters in just 30 min without active sweat stimulation. Sensing electrodes are patterned on ni
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Diaz, Carlos, and Shahram Payandeh. "Multimodal Sensing Interface for Haptic Interaction." Journal of Sensors 2017 (2017): 1–24. http://dx.doi.org/10.1155/2017/2072951.

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This paper investigates the integration of a multimodal sensing system for exploring limits of vibrato tactile haptic feedback when interacting with 3D representation of real objects. In this study, the spatial locations of the objects are mapped to the work volume of the user using a Kinect sensor. The position of the user’s hand is obtained using the marker-based visual processing. The depth information is used to build a vibrotactile map on a haptic glove enhanced with vibration motors. The users can perceive the location and dimension of remote objects by moving their hand inside a scannin
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KAMEL, NIDAL S., and SHOHEL SAYEED. "SVD-BASED SIGNATURE VERIFICATION TECHNIQUE USING DATA GLOVE." International Journal of Pattern Recognition and Artificial Intelligence 22, no. 03 (2008): 431–43. http://dx.doi.org/10.1142/s0218001408006387.

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Data glove is a new dimension in the field of virtual reality environments, initially designed to satisfy the stringent requirements of modern motion capture and animation professionals. In this paper, we try to shift the implementation of data glove from motion animation towards signature verification problem, making use of the offered multiple degrees of freedom for each finger and for the hand as well. The proposed technique is based on the Singular Value Decomposition (SVD) in finding r singular vectors sensing the maximal energy of glove data matrix A, called principal subspace, and thus
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Xia, Qi, Xiaotong Zhang, Hongye Wang, Libo Yuan, and Tingting Yuan. "Wearable Glove with Enhanced Sensitivity Based on Push–Pull Optical Fiber Sensor." Biosensors 15, no. 7 (2025): 414. https://doi.org/10.3390/bios15070414.

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Hand motion monitoring plays a vital role in medical rehabilitation, sports training, and human–computer interaction. High-sensitivity wearable biosensors are essential for accurate gesture recognition and precise motion analysis. In this work, we propose a high-sensitivity wearable glove based on a push–pull optical fiber sensor, designed to enhance the sensitivity and accuracy of hand motion biosensing. The sensor employs diagonal core reflectors fabricated at the tip of a four-core fiber, which interconnect symmetric fiber channels to form a push–pull sensing mechanism. This mechanism induc
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Ciotti, Simone, Edoardo Battaglia, Nicola Carbonaro, Antonio Bicchi, Alessandro Tognetti, and Matteo Bianchi. "A Synergy-Based Optimally Designed Sensing Glove for Functional Grasp Recognition." Sensors 16, no. 6 (2016): 811. http://dx.doi.org/10.3390/s16060811.

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Spilz, Andreas, Thomas Engleder, Michael Munz, and Marius Karge. "Development of a smart fabric force-sensing glove for physiotherapeutic Applications." Current Directions in Biomedical Engineering 5, no. 1 (2019): 513–15. http://dx.doi.org/10.1515/cdbme-2019-0129.

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AbstractIn this work, a low-priced smart fabric forcesensing glove is developed which is able to measure the total amount and direction of the force a person applies on a patient in a physiotherapeutic context. A device like this would be beneficial for the education of physiotherapists, to measure the progress of a patient and to evaluate the treatment. The proposed device uses a new sensor, which is based on a piezoresistive fabric. This fabric changes its electrical resistance according to the applied stress. The characterization of this sensor revealed that the change in resistance of the
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Ryu, Hochung, Sangki Park, Jong-Jin Park, and Jihyun Bae. "A knitted glove sensing system with compression strain for finger movements." Smart Materials and Structures 27, no. 5 (2018): 055016. http://dx.doi.org/10.1088/1361-665x/aab7cc.

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Galka, Jakub, Mariusz Masior, Mateusz Zaborski, and Katarzyna Barczewska. "Inertial Motion Sensing Glove for Sign Language Gesture Acquisition and Recognition." IEEE Sensors Journal 16, no. 16 (2016): 6310–16. http://dx.doi.org/10.1109/jsen.2016.2583542.

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Li, Fengguan, Jiahong Chen, Guanpeng Ye, Siwei Dong, Zishu Gao, and Yitong Zhou. "Soft Robotic Glove with Sensing and Force Feedback for Rehabilitation in Virtual Reality." Biomimetics 8, no. 1 (2023): 83. http://dx.doi.org/10.3390/biomimetics8010083.

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Many diseases, such as stroke, arthritis, and spinal cord injury, can cause severe hand impairment. Treatment options for these patients are limited by expensive hand rehabilitation devices and dull treatment procedures. In this study, we present an inexpensive soft robotic glove for hand rehabilitation in virtual reality (VR). Fifteen inertial measurement units are placed on the glove for finger motion tracking, and a motor—tendon actuation system is mounted onto the arm and exerts forces on fingertips via finger-anchoring points, providing force feedback to fingers so that the users can feel
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Liu, Shuting, Xuanxuan Duan, Jing Wen, et al. "A Self-Powered Smart Glove Based on Triboelectric Sensing for Real-Time Gesture Recognition and Control." Electronics 14, no. 12 (2025): 2469. https://doi.org/10.3390/electronics14122469.

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Glove-based human–machine interfaces (HMIs) offer a natural, intuitive way to capture finger motions for gesture recognition, virtual interaction, and robotic control. However, many existing systems suffer from complex fabrication, limited sensitivity, and reliance on external power. Here, we present a flexible, self-powered glove HMI based on a minimalist triboelectric nanogenerator (TENG) sensor composed of a conductive fabric electrode and textured Ecoflex layer. Surface micro-structuring via 3D-printed molds enhances triboelectric performance without added complexity, achieving a peak powe
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Bandara, W. D. S. S., and W. G. J. B. Weraluange. "Material Detecting Glove for Blind People." Engineer: Journal of the Institution of Engineers, Sri Lanka 58, no. 2 (2025): 119–28. https://doi.org/10.4038/engineer.v58i2.7632.

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Blind people identify materials by touching them and decide by the previous experience they have. But this is not an accurate method when some coatings were applied. The aim of this research is to design a material-detecting glove for blind people that will help them to understand and feel better about the surroundings. While investigating existing literature and technologies which support blind people it was found that many methods were available to avoid obstacles, some to detect the distance, the location, color of an object surface and to read braille but no device to detect materials. The
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Xu, Xiao-Yu, Bing Yan, and Xiao Lian. "Wearable glove sensor for non-invasive organophosphorus pesticide detection based on a double-signal fluorescence strategy." Nanoscale 10, no. 28 (2018): 13722–29. http://dx.doi.org/10.1039/c8nr03352h.

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By integrating a CMC aerogel as the host material and the two fluorescent centers as a double-signal sensing strategy, a wearable glove-based fluorescence sensor has been constructed for organophosphorus pesticides detection on the surfaces of agricultural products by swipe collection.
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Murugesh, Sri Abinesh Pillal, Ili Najaa Aimi Mohd Nordin, Ahmad Athif' Mohd Faudzi, Nurulaqilla Khamis, Noraishikin Zulkarnain, and Tariq Rehman. "IoT-Enabled Instrumented Glove for Real-Time Monitoring of Finger Pinch Strength." Journal of Advanced Research in Applied Sciences and Engineering Technology 62, no. 2 (2024): 220–30. https://doi.org/10.37934/araset.62.2.220230.

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Quantifying finger strength during Activities of daily living (ADLs) and the improvements observed in individuals undergoing physical therapy due to stroke or arthritis can provide valuable insights into hand function. The developed real-time IoT-based glove for finger strength monitoring is an instrumented device that incorporates Internet of Things technology. This includes utilizing an ESP8266 Wi-Fi module to connect to the selected IoT analytics platform, Blynk, and an Arduino microcontroller as the main control unit. The glove features a 16x2 LCD display to present the user's pinch streng
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Liao, Yongsheng, Yue Cheng, Zhongyu Zhuang, et al. "Plasma-Sprayed Flexible Strain Sensor and Its Applications in Boxing Glove." Applied Sciences 12, no. 16 (2022): 8382. http://dx.doi.org/10.3390/app12168382.

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The most common and easy approach to fabricating flexible strain sensors is based on the deposition principle. To improve the design of the sensing layer pattern, the reproducibility of the process and the sensitivity of the sensor, a controllable low-temperature-plasma spraying method for conducting nanoparticles was proposed. A flexible strain sensor was developed with multiwalled carbon nanotubes as the sensing layer and silica gel films as the substrate. The effects of plasma treatment on the cyclic stability and sensitivity of the sensor were examined and compared. The changes in the sens
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Yang, Shih-Hung, Chia-Lin Koh, Chun-Hang Hsu, et al. "An Instrumented Glove-Controlled Portable Hand-Exoskeleton for Bilateral Hand Rehabilitation." Biosensors 11, no. 12 (2021): 495. http://dx.doi.org/10.3390/bios11120495.

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Effective bilateral hand training is desired in rehabilitation programs to restore hand function for people with unilateral hemiplegia, so that they can perform daily activities independently. However, owing to limited human resources, the hand function training available in current clinical settings is significantly less than the adequate amount needed to drive optimal neural reorganization. In this study, we designed a lightweight and portable hand exoskeleton with a hand-sensing glove for bilateral hand training and home-based rehabilitation. The hand-sensing glove measures the hand movemen
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Pan, Jieming, Yida Li, Yuxuan Luo, et al. "Hybrid-Flexible Bimodal Sensing Wearable Glove System for Complex Hand Gesture Recognition." ACS Sensors 6, no. 11 (2021): 4156–66. http://dx.doi.org/10.1021/acssensors.1c01698.

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Zhou, Guoyang, Ming-Lun Lu, and Denny Yu. "Investigating gripping force during lifting tasks using a pressure sensing glove system." Applied Ergonomics 107 (February 2023): 103917. http://dx.doi.org/10.1016/j.apergo.2022.103917.

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46

Ryu, Jaemyung, and Dong Hun Kim. "Study on Wireless Control of a Board Robot Using a Sensing Glove." Journal of Korean Institute of Intelligent Systems 23, no. 4 (2013): 341–47. http://dx.doi.org/10.5391/jkiis.2013.23.4.341.

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Ye, Qiang, MirHojjat Seyedi, Zibo Cai, and Daniel T. H. Lai. "Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding." International Journal of Distributed Sensor Networks 11, no. 11 (2015): 545643. http://dx.doi.org/10.1155/2015/545643.

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Ruiz, Luana I. R., Wesley Beccaro, Bruno G. P. Evaristo, and Francisco Javier Ramirez Fernandez. "Tactile Sensing Glove-Based System for Objects Classification Using Support Vector Machine." IEEE Latin America Transactions 16, no. 6 (2018): 1658–63. http://dx.doi.org/10.1109/tla.2018.8444383.

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Åkerfeldt, Maria, Anja Lund, and Pernilla Walkenström. "Textile sensing glove with piezoelectric PVDF fibers and printed electrodes of PEDOT:PSS." Textile Research Journal 85, no. 17 (2015): 1789–99. http://dx.doi.org/10.1177/0040517515578333.

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Yilmaz, Ayse Feyza, Fidan Khalilbayli, Kadir Ozlem, et al. "Effect of Segment Types on Characterization of Soft Sensing Textile Actuators for Soft Wearable Robots." Biomimetics 7, no. 4 (2022): 249. http://dx.doi.org/10.3390/biomimetics7040249.

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The use of textiles in soft robotics is gaining popularity because of the advantages textiles offer over other materials in terms of weight, conformability, and ease of manufacture. The purpose of this research is to examine the stitching process used to construct fabric-based pneumatic bending actuators as well as the effect of segment types on the actuators’ properties when used in soft robotic glove applications. To impart bending motion to actuators, two techniques have been used: asymmetry between weave and weft knit fabric layers and mechanical anisotropy between these two textiles. The
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