Journal articles on the topic 'Microsoft Kinect v1;, Microsoft Kinect v2'
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Pankov, B., and M. Makolkina. "OVERVIEW OF EQUIPMENT FOR CAPTURING 3D IMAGES WITH SUBSEQUENT TRANSMISSION THROUGH A COMMUNICATION NETWORK." Telecom IT 9, no. 3 (December 15, 2021): 56–71. http://dx.doi.org/10.31854/2307-1303-2021-9-3-56-71.
Full textGuidi, G., S. Gonizzi, and L. Micoli. "3D CAPTURING PERFORMANCES OF LOW-COST RANGE SENSORS FOR MASS-MARKET APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 33–40. http://dx.doi.org/10.5194/isprs-archives-xli-b5-33-2016.
Full textGuidi, G., S. Gonizzi, and L. Micoli. "3D CAPTURING PERFORMANCES OF LOW-COST RANGE SENSORS FOR MASS-MARKET APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 33–40. http://dx.doi.org/10.5194/isprsarchives-xli-b5-33-2016.
Full textNichols, Andrew, Matteo Rubinato, Yun-Hang Cho, and Jiayi Wu. "Optimal Use of Titanium Dioxide Colourant to Enable Water Surfaces to Be Measured by Kinect Sensors." Sensors 20, no. 12 (June 21, 2020): 3507. http://dx.doi.org/10.3390/s20123507.
Full textCai, Laisi, Ye Ma, Shuping Xiong, and Yanxin Zhang. "Validity and Reliability of Upper Limb Functional Assessment Using the Microsoft Kinect V2 Sensor." Applied Bionics and Biomechanics 2019 (February 11, 2019): 1–14. http://dx.doi.org/10.1155/2019/7175240.
Full textGray, Aaron D., Brad W. Willis, Marjorie Skubic, Zhiyu Huo, Swithin Razu, Seth L. Sherman, Trent M. Guess, et al. "Development and Validation of a Portable and Inexpensive Tool to Measure the Drop Vertical Jump Using the Microsoft Kinect V2." Sports Health: A Multidisciplinary Approach 9, no. 6 (August 28, 2017): 537–44. http://dx.doi.org/10.1177/1941738117726323.
Full textKurillo, Gregorij, Evan Hemingway, Mu-Lin Cheng, and Louis Cheng. "Evaluating the Accuracy of the Azure Kinect and Kinect v2." Sensors 22, no. 7 (March 23, 2022): 2469. http://dx.doi.org/10.3390/s22072469.
Full textAyed, Ines, Antoni Jaume-i-Capó, Pau Martínez-Bueso, Arnau Mir, and Gabriel Moyà-Alcover. "Balance Measurement Using Microsoft Kinect v2: Towards Remote Evaluation of Patient with the Functional Reach Test." Applied Sciences 11, no. 13 (June 30, 2021): 6073. http://dx.doi.org/10.3390/app11136073.
Full textBanh, Tien Long, and Van Bien Bui. "First Experiences with Microsoft Kinect V2 for 3D Modelling of Mechanical Parts." Applied Mechanics and Materials 889 (March 2019): 329–36. http://dx.doi.org/10.4028/www.scientific.net/amm.889.329.
Full textCaruso, L., R. Russo, and S. Savino. "Microsoft Kinect V2 vision system in a manufacturing application." Robotics and Computer-Integrated Manufacturing 48 (December 2017): 174–81. http://dx.doi.org/10.1016/j.rcim.2017.04.001.
Full textBenedetti, Elisa, Roberta Ravanelli, Monica Moroni, Andrea Nascetti, and Mattia Crespi. "Exploiting Performance of Different Low-Cost Sensors for Small Amplitude Oscillatory Motion Monitoring: Preliminary Comparisons in View of Possible Integration." Journal of Sensors 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/7490870.
Full textGuffanti, Diego, Alberto Brunete, Miguel Hernando, Javier Rueda, and Enrique Navarro Cabello. "The Accuracy of the Microsoft Kinect V2 Sensor for Human Gait Analysis. A Different Approach for Comparison with the Ground Truth." Sensors 20, no. 16 (August 7, 2020): 4405. http://dx.doi.org/10.3390/s20164405.
Full textSokhib, Tukhtaev, and Taeg Keun Whangbo. "A Combined Method of Skin-and Depth-based Hand Gesture Recognition." International Arab Journal of Information Technology 17, no. 1 (January 1, 2019): 137–45. http://dx.doi.org/10.34028/iajit/17/1/16.
Full textGau, Michael-Lian, Huong Yong Ting, Jackie Tiew-Wei Ting, Marcella Peter, and Khairunnisa Ibrahim. "Sarawak Traditional Dance Motion Analysis and Comparison using Microsoft Kinect V2." Green Intelligent Systems and Applications 2, no. 1 (April 17, 2022): 42–52. http://dx.doi.org/10.53623/gisa.v2i1.78.
Full textLee, Jaehoon, Min Hong, and Sungyong Ryu. "Sleep Monitoring System Using Kinect Sensor." International Journal of Distributed Sensor Networks 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/875371.
Full textTemitayo, Ejidokun, Adigun Samson Olasunkanmi, Olutayo-Irheren E. Olutayo, and Rabbilfattah Ozovehe Yusuf. "Investigation into the suitability of kinect sensor for automated body measurement." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 2 (February 1, 2023): 694. http://dx.doi.org/10.11591/ijeecs.v29.i2.pp694-702.
Full textKoontz, Alicia Marie, Ahlad Neti, Cheng-Shiu Chung, Nithin Ayiluri, Brooke A. Slavens, Celia Genevieve Davis, and Lin Wei. "Reliability of 3D Depth Motion Sensors for Capturing Upper Body Motions and Assessing the Quality of Wheelchair Transfers." Sensors 22, no. 13 (June 30, 2022): 4977. http://dx.doi.org/10.3390/s22134977.
Full textVenek, Verena, Wolfgang Kremser, and Thomas Stöggl. "Towards a Live Feedback Training System: Interchangeability of Orbbec Persee and Microsoft Kinect for Exercise Monitoring." Designs 5, no. 2 (April 15, 2021): 30. http://dx.doi.org/10.3390/designs5020030.
Full textEdmunds, David M., Sophie E. Bashforth, Fatemeh Tahavori, Kevin Wells, and Ellen M. Donovan. "The feasibility of using Microsoft Kinect v2 sensors during radiotherapy delivery." Journal of Applied Clinical Medical Physics 17, no. 6 (November 2016): 446–53. http://dx.doi.org/10.1120/jacmp.v17i6.6377.
Full textDajime, Peter Fermin, Heather Smith, and Yanxin Zhang. "Automated classification of movement quality using the Microsoft Kinect V2 sensor." Computers in Biology and Medicine 125 (October 2020): 104021. http://dx.doi.org/10.1016/j.compbiomed.2020.104021.
Full textSilverstein, Evan, and Michael Snyder. "Comparative analysis of respiratory motion tracking using Microsoft Kinect v2 sensor." Journal of Applied Clinical Medical Physics 19, no. 3 (March 25, 2018): 193–204. http://dx.doi.org/10.1002/acm2.12318.
Full textMateo, Fernando, Emilio Soria-Olivas, Juan Carrasco, Santiago Bonanad, Felipe Querol, and Sofía Pérez-Alenda. "HemoKinect: A Microsoft Kinect V2 Based Exergaming Software to Supervise Physical Exercise of Patients with Hemophilia." Sensors 18, no. 8 (July 26, 2018): 2439. http://dx.doi.org/10.3390/s18082439.
Full textAlbert, Justin Amadeus, Victor Owolabi, Arnd Gebel, Clemens Markus Brahms, Urs Granacher, and Bert Arnrich. "Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study." Sensors 20, no. 18 (September 8, 2020): 5104. http://dx.doi.org/10.3390/s20185104.
Full textDarby, John, María B. Sánchez, Penelope B. Butler, and Ian D. Loram. "An evaluation of 3D head pose estimation using the Microsoft Kinect v2." Gait & Posture 48 (July 2016): 83–88. http://dx.doi.org/10.1016/j.gaitpost.2016.04.030.
Full textAlzahrani, Mona Saleh, Salma Kammoun Jarraya, Hanêne Ben-Abdallah, and Manar Salamah Ali. "Comprehensive evaluation of skeleton features-based fall detection from Microsoft Kinect v2." Signal, Image and Video Processing 13, no. 7 (May 15, 2019): 1431–39. http://dx.doi.org/10.1007/s11760-019-01490-9.
Full textSilverstein, Evan, and Michael Snyder. "Implementation of facial recognition with Microsoft Kinect v2 sensor for patient verification." Medical Physics 44, no. 6 (May 12, 2017): 2391–99. http://dx.doi.org/10.1002/mp.12241.
Full textLiu, Jiantao, and Xiaoxiang Yang. "Artificial Neural Network for Vibration Frequency Measurement Using Kinect V2." Shock and Vibration 2019 (March 12, 2019): 1–16. http://dx.doi.org/10.1155/2019/9064830.
Full textUsami, Takuya, Kazuki Nishida, Hirotaka Iguchi, Taro Okumura, Hiroaki Sakai, Ruido Ida, Mitsuya Horiba, et al. "Evaluation of lower extremity gait analysis using Kinect V2® tracking system." SICOT-J 8 (2022): 27. http://dx.doi.org/10.1051/sicotj/2022027.
Full textChiu, Chuang-Yuan, Michael Thelwell, Terry Senior, Simon Choppin, John Hart, and Jon Wheat. "Comparison of depth cameras for three-dimensional reconstruction in medicine." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 233, no. 9 (June 28, 2019): 938–47. http://dx.doi.org/10.1177/0954411919859922.
Full textIVORRA, EUGENIO, MARIO ORTEGA, and MARIANO ALCANIZ. "AZURE KINECT BODY TRACKING UNDER REVIEW FOR THE SPECIFIC CASE OF UPPER LIMB EXERCISES." MM Science Journal 2021, no. 2 (June 2, 2021): 4333–41. http://dx.doi.org/10.17973/mmsj.2021_6_2021012.
Full textOudah, Munir, Ali Al-Naji, and Javaan Chahl. "Elderly Care Based on Hand Gestures Using Kinect Sensor." Computers 10, no. 1 (December 26, 2020): 5. http://dx.doi.org/10.3390/computers10010005.
Full textKösesoy, İrfan, Cemil Öz, Fatih Aslan, Fahri Köroğlu, and Mustafa Yığılıtaş. "Reliability and Validity of an Innovative Method of ROM Measurement Using Microsoft Kinect V2." Pamukkale University Journal of Engineering Sciences 24, no. 5 (2018): 915–20. http://dx.doi.org/10.5505/pajes.2017.65707.
Full textHannink, Erin, Thomas Shannon, Karen L. Barker, and Helen Dawes. "The reliability and reproducibility of sagittal spinal curvature measurement using the Microsoft Kinect V2." Journal of Back and Musculoskeletal Rehabilitation 33, no. 2 (March 19, 2020): 295–301. http://dx.doi.org/10.3233/bmr-191554.
Full textEdmunds, D., K. Tang, R. Symonds-Tayler, and E. Donovan. "EP-1624: Respiratory gating of an Elekta linac using a Microsoft Kinect v2 system." Radiotherapy and Oncology 123 (May 2017): S879—S880. http://dx.doi.org/10.1016/s0167-8140(17)32059-5.
Full textDolatabadi, Elham, Babak Taati, and Alex Mihailidis. "Concurrent validity of the Microsoft Kinect for Windows v2 for measuring spatiotemporal gait parameters." Medical Engineering & Physics 38, no. 9 (September 2016): 952–58. http://dx.doi.org/10.1016/j.medengphy.2016.06.015.
Full textMarchisotti, Daniele, Pietro Marzaroli, Remo Sala, Michele Sculati, Hermes Giberti, and Marco Tarabini. "Automatic measurement of the hand dimensions using consumer 3D cameras." ACTA IMEKO 9, no. 2 (June 30, 2020): 75. http://dx.doi.org/10.21014/acta_imeko.v9i2.706.
Full textScimmi, Leonardo Sabatino, Matteo Melchiorre, Mario Troise, Stefano Mauro, and Stefano Pastorelli. "A Practical and Effective Layout for a Safe Human-Robot Collaborative Assembly Task." Applied Sciences 11, no. 4 (February 17, 2021): 1763. http://dx.doi.org/10.3390/app11041763.
Full textNoonan, P. J., J. Howard, W. A. Hallett, and R. N. Gunn. "Repurposing the Microsoft Kinect for Windows v2 for external head motion tracking for brain PET." Physics in Medicine and Biology 60, no. 22 (November 3, 2015): 8753–66. http://dx.doi.org/10.1088/0031-9155/60/22/8753.
Full textAlimasi, Alimina, Hongchen Liu, and Chengang Lyu. "Low Frequency Vibration Visual Monitoring System Based on Multi-Modal 3DCNN-ConvLSTM." Sensors 20, no. 20 (October 17, 2020): 5872. http://dx.doi.org/10.3390/s20205872.
Full textValdivia, Sergio, Robin Blanco, Alvaro Uribe-Quevedo, Lina Penuela, David Rojas, and Bill Kapralos. "Development and evaluation of two posture-tracking user interfaces for occupational health care." Advances in Mechanical Engineering 10, no. 6 (June 2018): 168781401876948. http://dx.doi.org/10.1177/1687814018769489.
Full textSeredin, O. S., A. V. Kopylov, S. C. Huang, and D. S. Rodionov. "A SKELETON FEATURES-BASED FALL DETECTION USING MICROSOFT KINECT V2 WITH ONE CLASS-CLASSIFIER OUTLIER REMOVAL." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W12 (May 9, 2019): 189–95. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w12-189-2019.
Full textGené-Mola, Jordi, Jordi Llorens, Joan R. Rosell-Polo, Eduard Gregorio, Jaume Arnó, Francesc Solanelles, José A. Martínez-Casasnovas, and Alexandre Escolà. "Assessing the Performance of RGB-D Sensors for 3D Fruit Crop Canopy Characterization under Different Operating and Lighting Conditions." Sensors 20, no. 24 (December 10, 2020): 7072. http://dx.doi.org/10.3390/s20247072.
Full textTimmi, Alessandro, Gino Coates, Karine Fortin, David Ackland, Adam L. Bryant, Ian Gordon, and Peter Pivonka. "Accuracy of a novel marker tracking approach based on the low-cost Microsoft Kinect v2 sensor." Medical Engineering & Physics 59 (September 2018): 63–69. http://dx.doi.org/10.1016/j.medengphy.2018.04.020.
Full textMarchisotti, Daniele, Paolo Schito, and Emanuele Zappa. "3D Measurement of Large Deformations on a Tensile Structure during Wind Tunnel Tests Using Microsoft Kinect V2." Sensors 22, no. 16 (August 17, 2022): 6149. http://dx.doi.org/10.3390/s22166149.
Full textVan-Bien, Bui, Banh Tien-Long, and Nguyen Duc-Toan. "Improving the Depth Accuracy and Assessment of Microsoft Kinect v2 Towards a Usage for Mechanical Part Modeling." Journal of the Korean Society for Precision Engineering 36, no. 8 (August 1, 2019): 691–97. http://dx.doi.org/10.7736/kspe.2019.36.8.691.
Full textNaeemabadi, Mreza, Birthe Dinesen, Ole Kaeseler Andersen, and John Hansen. "Influence of a Marker-Based Motion Capture System on the Performance of Microsoft Kinect v2 Skeleton Algorithm." IEEE Sensors Journal 19, no. 1 (January 1, 2019): 171–79. http://dx.doi.org/10.1109/jsen.2018.2876624.
Full textVonstad, Elise Klæbo, Xiaomeng Su, Beatrix Vereijken, Kerstin Bach, and Jan Harald Nilsen. "Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training." Sensors 20, no. 23 (December 4, 2020): 6940. http://dx.doi.org/10.3390/s20236940.
Full textAmini, Amin, Konstantinos Banitsas, and William R. Young. "Kinect4FOG: monitoring and improving mobility in people with Parkinson’s using a novel system incorporating the Microsoft Kinect v2." Disability and Rehabilitation: Assistive Technology 14, no. 6 (May 23, 2018): 566–73. http://dx.doi.org/10.1080/17483107.2018.1467975.
Full textFuertes Muñoz, Gabriel, Ramón A. Mollineda, Jesús Gallardo Casero, and Filiberto Pla. "A RGBD-Based Interactive System for Gaming-Driven Rehabilitation of Upper Limbs." Sensors 19, no. 16 (August 9, 2019): 3478. http://dx.doi.org/10.3390/s19163478.
Full textKozlow, Patrick, Noor Abid, and Svetlana Yanushkevich. "Gait Type Analysis Using Dynamic Bayesian Networks." Sensors 18, no. 10 (October 4, 2018): 3329. http://dx.doi.org/10.3390/s18103329.
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