Academic literature on the topic '3D Foot Model'
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Journal articles on the topic "3D Foot Model"
Song, Eungyeol, Sun-Woong Yoon, Hanbin Son, and Sunjin Yu. "Foot Measurement Using 3D Scanning Model." INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS 18, no. 3 (September 30, 2018): 167–74. http://dx.doi.org/10.5391/ijfis.2018.18.3.167.
Full textvan Doremalen, Rob F. M., Jaap J. van Netten, Jeff G. van Baal, Miriam M. R. Vollenbroek-Hutten, and Ferdinand van der Heijden. "Infrared 3D Thermography for Inflammation Detection in Diabetic Foot Disease: A Proof of Concept." Journal of Diabetes Science and Technology 14, no. 1 (June 14, 2019): 46–54. http://dx.doi.org/10.1177/1932296819854062.
Full textSekiguchi, Yuka, Takanori Kokubun, Hiroki Hanawa, Hitomi Shono, Ayumi Tsuruta, and Naohiko Kanemura. "Evaluation of the Validity, Reliability, and Kinematic Characteristics of Multi-Segment Foot Models in Motion Capture." Sensors 20, no. 16 (August 7, 2020): 4415. http://dx.doi.org/10.3390/s20164415.
Full textTaha, Zahari, Mohd Azri Aris, Zulkifli Ahmad, Mohd Hasnun Arif Hassan, and Nina Nadia Sahim. "A Low Cost 3D Foot Scanner for Custom-Made Sports Shoes." Applied Mechanics and Materials 440 (October 2013): 369–72. http://dx.doi.org/10.4028/www.scientific.net/amm.440.369.
Full textNiu, Lulu, Gang Xiong, Xiuqin Shang, Chao Guo, Xi Chen, and Huaiyu Wu. "3D Foot Reconstruction Based on Mobile Phone Photographing." Applied Sciences 11, no. 9 (April 29, 2021): 4040. http://dx.doi.org/10.3390/app11094040.
Full textShilov, Lev, Semen Shanshin, Aleksandr Romanov, Anastasia Fedotova, Anna Kurtukova, Evgeny Kostyuchenko, and Ivan Sidorov. "Reconstruction of a 3D Human Foot Shape Model Based on a Video Stream Using Photogrammetry and Deep Neural Networks." Future Internet 13, no. 12 (December 14, 2021): 315. http://dx.doi.org/10.3390/fi13120315.
Full textBanwell, Helen A., Ryan S. Causby, Alyson J. Crozier, Brendan Nettle, and Carolyn Murray. "An exploration of the use of 3D printed foot models and simulated foot lesions to supplement scalpel skill training in undergraduate podiatry students: A multiple method study." PLOS ONE 16, no. 12 (December 13, 2021): e0261389. http://dx.doi.org/10.1371/journal.pone.0261389.
Full textWu, Ge, Duan Li, Pengpeng Hu, Yueqi Zhong, and Ning Pan. "Foot shape prediction using elliptical Fourier analysis." Textile Research Journal 88, no. 9 (February 17, 2017): 1026–37. http://dx.doi.org/10.1177/0040517517693983.
Full textKobayashi, Daiki, Tomohito Takubo, and Atsushi Ueno. "Model-Based Footstep Planning Method for Biped Walking on 3D Field." Journal of Robotics and Mechatronics 27, no. 2 (April 20, 2015): 156–66. http://dx.doi.org/10.20965/jrm.2015.p0156.
Full textDeschamps, Kevin, Filip Staes, Herman Bruyninckx, Ellen Busschots, Giovanni A. Matricali, Pieter Spaepen, Christophe Meyer, and Kaat Desloovere. "Repeatability of a 3D multi-segment foot model protocol in presence of foot deformities." Gait & Posture 36, no. 3 (July 2012): 635–38. http://dx.doi.org/10.1016/j.gaitpost.2012.04.007.
Full textDissertations / Theses on the topic "3D Foot Model"
Hill, David Allen Ph D. Massachusetts Institute of Technology. "A 3D neuromuscular model of the human ankle-foot complex based on multi-joint biplanar fluoroscopy gait analysis." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119073.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 111-117).
During the gait cycle, the human ankle complex serves as a primary power generator while simultaneously stabilizing the entire limb. These actions are controlled by an intricate interplay of several lower leg muscles that cannot be fully uncovered using experimental methods alone. A combination of experiments and mathematical modeling may be used to estimate aspects of neuromusculoskeletal functions that control human gait. In this research, a three-dimensional neuromuscular model of the human ankle-foot complex based on biplanar fluoroscopy gait analysis is presented. Biplanar fluoroscopy (BiFlo) enables three-dimensional bone kinematics analysis using x-ray videos and bone geometry from segmented CT. Hindered by a small capture volume relative to traditional optical motion capture (MOCAP), BiFlo applications to human movement are generally limited to single-joint motions with constrained range. Here, a hybrid procedure is developed for multi-joint gait analysis using BiFlo and MOCAP in tandem. MOCAP effectively extends BiFlo's field-of-view. Subjects walked at a self-selected pace along a level walkway while BiFlo, MOCAP, and ground reaction forces were collected. A novel methodology was developed to register separate BiFlo measurements of the knee and ankle-foot complex. Kinematic analysis of bones surrounding the knee, ankle, and foot was performed. Kinematics obtained using this technique were compared to those calculated using only MOCAP during stance phase. Results show that this hybrid protocol effectively measures knee and ankle kinematics in all three body planes. Additionally, sagittal plane kinematics for select foot bone segments (proximal phalanges, metatarsals, and midfoot) was realized. The proposed procedure offers a novel approach to human gait analysis that eliminates errors originated by soft tissue artifacts, and is especially useful for ankle joint analysis, whose complexities are often simplified in MOCAP studies. Outcomes of the BiFlo walking experiments helped guide the development of a three-dimensional neuromuscular model of the human ankle-foot complex. Driven by kinematics, kinetics, and electromyography (EMG), the model seeks to solve the redundancy problem, individual muscle-tendon contributions to net joint torque, in ankle and subtalar joint actuation during overground gait. Kinematics and kinetics from BiFlo walking trials enable estimations of muscle-tendon lengths, moment arms, and joint torques. EMG yields estimates of muscle activation. Using each of these as inputs, an optimization approach was employed to calculate sets of morphological parameters that simultaneously maximize the neuromuscular model's metabolic efficiency and fit to experimental joint torques. This approach is based on the hypothesis that the muscle-tendon morphology of the human leg has evolved to maximize metabolic efficiency of walking at self-selected speed. Optimal morphological parameter sets produce estimates of force contributions and states for individual muscles. This research lends insight into the possible roles of individual muscle-tendons in the leg that lead to efficient gait.
by David Allen Hill.
Ph. D.
Goodrich, Colton Lynn. "Digital Outcrop Model and Paleoecology of the Eight-Foot Rapid Algal Field (Middle Pennsylvanian Lower Ismay Sequence), Paradox Basin, Utah." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3830.
Full textCarter, Sarah Louise. "Lower leg and foot contributions to turnout in pre-professional female dancers: A clinical and kinematic analysis." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2018. https://ro.ecu.edu.au/theses/2101.
Full textM, Fard Farhad. "Quantitative image based modelling of food on aplate." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-80869.
Full textChen, Chia-Hsing, and 陳家興. "The arch analysis with 3D foot model under different weight loading." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/08361800159632372402.
Full text僑光科技大學
工程科技研究所
98
A foot arch serves a major function as a buffer to human beings. Overloaded with pressures or compressed for a long time, it may lose its proper function, even showing a pathological aversion. In order to find out the variation of arch between different loading situations, a study was conducted. Three loading levels, non-loading (about 0% of body weight), middle-loading(about 50% of body weight), full-loading(about 100%of body weight) are considered as major factor. The 3D deformation of arch was scanned with the LT 3D Foot CAM. Fifteen male and 15female college students were invited and both feet were scanned separately to retrieve the relevant 3D data of arch. After scanning, the indicated was analyzed to retrieve data of height, angle, and volume of foot arches. The results that height and angle of foot arch showed significant differences while foot arches were under micro-loading and middle-loading, yet no significant changes under middle-loading and full-loading. In the result of foot arch volume, another finding is that there is a significant difference between micro-loading and middle-loading, but no significant changes under middle-loading and full-loading state. While in the result of the height and the angle of foot arch, there is a significant difference between middle-loading and full-loading. These results indicated that as the soft tissue moved, the height and the angle of foot arch were changed, but not in the aspect of volume. In conclusion, there is a significant difference between being micro-loading and middle-loading, but no significant change in between being middle-loading and full-loading. Therefore, the researcher suggests a foot facilitator to foot arch should be custom made to meet individual needs of being under different loading.
Viswanathan, NavaneethaKannan. "Calibration and 3D Model Generation for a Low-Cost Structured Light Foot Scanner." Thesis, 2013. http://hdl.handle.net/10012/7277.
Full textAMARU', Fabio. "Multimodal techniques for biomedical image processing." Doctoral thesis, 2014. http://hdl.handle.net/11562/693559.
Full textThe PhD work involved three main biomedical research areas. In the first, we aimed at assessing whether T1 relaxometry measurements may help identifying structural predictors of mild cognitive impairments in patients with relapsing-remitting multiple sclerosis. Twenty-nine healthy controls and forty-nine RRMS patients underwent at high resolution 3T magnetic resonance imaging to obtain optimal cortical and white matter lesion count/volume as well as T1 relaxation times (rt). In WML and CL type I (mixed white-gray matter), T1 rt z-scores were significantly longer than in HC tissue (p<0.001 and p<0.01 respectively), indicating loss of structure. Multivariate analysis revealed T1 rt z-scores in CL type I were independent predictors of long term retrieval (p=0.01), T1 z-score relaxation time in white matter cortical lesions were independent predictors of sustained attention and information processing (p=0.02); In the second, we describe a biomagnetic susceptometer at room-temperature to quantify liver iron overload. By electronically modulated magnetic field, the magnetic system measure magnetic signal 108 times weaker than field applied. The mechanical noise of room-temperature susceptometer is cancelled and thermal drift is monitored by an automatic balance control system. We have tested and calibrated the system using cylindrical phantom filled with hexahydrated iron II choloride solution, obtaining the correlation (R=0.98) of the maximum variation in the responses of the susceptometer. These measures indicate that the acquisition time must be less than 8 seconds to guarantee an output signal variability to about 4-5%, equal to 500ugr/grwet of iron. In the third, a 3D anatomically detailed finite element analysis human foot model is final results of density segmentation 3D reconstruction techiniques applied in Computed Tomography(CT) scan DICOM standard images in conjunctions with 3D finite element analysis(FEA) modeling. In this model the real morphology of plantar fat pad has been considered: it was shown to play a very important role during the contact with the ground. To obtain the experimental data to compare the predictions of 3D foot model, a posturography static examination test on a baropodometric platform has been carried. The experimental plantar contact pressure is, qualitatively, comparable with FEA predicted results, nominally, the peak pressure value zones at the centre heel region and beneath the metatarsal heads.
Book chapters on the topic "3D Foot Model"
Millard, Matthew, and Andrés Kecskeméthy. "A 3D Foot-Ground Model Using Disk Contacts." In Interdisciplinary Applications of Kinematics, 161–69. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10723-3_17.
Full textHwang, Sung Jae, Hue Seok Choi, Kyung Tae Lee, and Young Ho Kim. "3D Motion Analysis on the Hallux Valgus by Using the Multi-Segment Foot Model." In Advanced Nondestructive Evaluation I, 988–91. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-412-x.988.
Full textOgata, Kazuhiro, Daijiro Mizuno, Emma F. Huffman, and Eizo Okada. "Possible Design Principles for 3D Food Printing." In [ ] With Design: Reinventing Design Modes, 2545–67. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4472-7_164.
Full textMao, Bo, Jing He, Jie Cao, Stephen Bigger, and Todor Vasiljevic. "3D Model-Based Food Traceability Information Extraction Framework." In Data Science, 112–19. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24474-7_16.
Full textCastellví, Q., J. Banús, and A. Ivorra. "3D Assessment of Irreversible Electroporation Treatments in Vegetal Models." In 1st World Congress on Electroporation and Pulsed Electric Fields in Biology, Medicine and Food & Environmental Technologies, 294–97. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-817-5_65.
Full textWiegand, C., J. Tittelbach, U. C. Hipler, and P. Elsner. "Water-Filtered Infrared A Irradiation: From Observations in Clinical Studies to Complex In Vitro Models." In Water-filtered Infrared A (wIRA) Irradiation, 203–12. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92880-3_17.
Full text"A Multisegment, 3D Kinematic Model of the Foot and Ankle." In Foot and Ankle Motion Analysis, 489–94. CRC Press, 2007. http://dx.doi.org/10.1201/9781420005745-32.
Full textKitaoka, Harold, Kenton Kaufman, Duane Morrow, Brian Kotajarvi, and Diana Hansen. "A Multisegment, 3D Kinematic Model of the Foot and Ankle." In Biomedical Engineering, 465–70. CRC Press, 2007. http://dx.doi.org/10.1201/9781420005745.ch27.
Full textR., Maheswari, Pattabiraman Venkatasubbu, and A. Saleem Raja. "Gait Analysis Using Principal Component Analysis and Long Short Term Memory Models." In Structural and Functional Aspects of Biocomputing Systems for Data Processing, 79–97. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6523-3.ch004.
Full textSpake, Carole S. L., and Albert S. Woo. "Additive Manufacturing in Medicine and Craniofacial Applications of 3D Printing." In Additive Manufacturing in Biomedical Applications, 454–65. ASM International, 2022. http://dx.doi.org/10.31399/asm.hb.v23a.a0006852.
Full textConference papers on the topic "3D Foot Model"
Gao, Mucong, Chunfang Li, Rui Yang, Minyong Shi, and Jintian Yang. "Point Cloud Foot Model Extraction Algorithm for 3D Foot Model Scanner." In 2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall). IEEE, 2021. http://dx.doi.org/10.1109/icisfall51598.2021.9627366.
Full textLuximon, Ameersing, Zhang YiFan, Ma Xiao, and Yan Luximon. "Development of Low Cost Foot Scanner Using Foot Model." In 1st Asian Workshop on 3D Body Scanning Technologies, Tokyo, Japan, 17-18 April 2012. Ascona, Switzerland: Hometrica Consulting - Dr. Nicola D'Apuzzo, 2012. http://dx.doi.org/10.15221/a12.060.
Full textAL-Baghdadi, Jasim Ahmed Ali, Albert K. Chong, Peter Milburn, and Richard Newsham-West. "Correlating video-captured 3D foot model with foot loading during walking." In 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). IEEE, 2013. http://dx.doi.org/10.1109/icsipa.2013.6707996.
Full textAmeersing a, Luximon, Ganesan Balasankara, KaiWei Zhao a, and Lap Ki Chanb. "3D Functional Foot." In Applied Human Factors and Ergonomics Conference. AHFE International, 2018. http://dx.doi.org/10.54941/ahfe100080.
Full textChu, Wei-Ta, and Cheng-Hsi Lin. "3D Foot Model Construction from Photos, Model Segmentation, and Model Alignment." In 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE). IEEE, 2019. http://dx.doi.org/10.1109/gcce46687.2019.9015322.
Full textMancilla, Rafael Bayareh, Citlalli Trujillo Romero, Mario I. Gutierrez Velazco, Didier Wolf, Arturo Vera Hernandez, and Lorenzo Leija Salas. "3D Multilayer Foot Model based on CT Medical Imaging Processing for the Study of the Diabetic Foot Complication." In 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE, 2018. http://dx.doi.org/10.1109/iceee.2018.8533941.
Full textQiu, Tian-Xia, and Ee-Chon Teo. "A State-of-the-art 3D Coupled Foot-boot Finite Element Model." In Proceedings of the First International Symposium on Bioengineering. Singapore: Research Publishing Services, 2011. http://dx.doi.org/10.3850/978-981-08-7615-9_fi09.
Full textYoshida, Yuji, Shunta Saito, Yoshimitsu Aoki, Makiko Kouchi, and Masaaki Mochimaru. "Shape Completion and Modeling of 3D Foot Shape While Walking Using Homologous Model Fitting." In 2nd International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 25-26 October 2011. Ascona, Switzerland: Hometrica Consulting - Dr. Nicola D'Apuzzo, 2011. http://dx.doi.org/10.15221/11.270.
Full textInoue, J., Wenwei Yu, Kang Zhi Liu, K. Kawamura, and M. G. Fujie. "A detailed 3D ankle-foot model for simulate dynamics of lower limb orthosis." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6092008.
Full textPraet, Tomas, Matthieu De Beule, Sofie Van Cauter, and Benedict Verhegghe. "A Preliminary Study on the Mechanics of Ankle-Foot Orthoses: From 3D Laser Scan to Smooth Finite Element Model." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206590.
Full textReports on the topic "3D Foot Model"
LOW-TEMPERATURE COMPRESSION BEHAVIOUR OF CIRCULAR STUB STAINLESS-STEEL TUBULAR COLUMNS. The Hong Kong Institute of Steel Construction, September 2022. http://dx.doi.org/10.18057/ijasc.2022.18.3.4.
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