{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T15:18:54Z","timestamp":1773155934692,"version":"3.50.1"},"publisher-location":"Cham","reference-count":76,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031726262","type":"print"},{"value":"9783031726279","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T00:00:00Z","timestamp":1729382400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T00:00:00Z","timestamp":1729382400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-72627-9_8","type":"book-chapter","created":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T21:02:10Z","timestamp":1729371730000},"page":"128-146","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["MANIKIN: Biomechanically Accurate Neural Inverse Kinematics for\u00a0Human Motion Estimation"],"prefix":"10.1007","author":[{"given":"Jiaxi","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Paul","family":"Streli","sequence":"additional","affiliation":[]},{"given":"Xuejing","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Christoph","family":"Gebhardt","sequence":"additional","affiliation":[]},{"given":"Christian","family":"Holz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,20]]},"reference":[{"key":"8_CR1","unstructured":"CMU MoCap Dataset (2004). http:\/\/mocap.cs.cmu.edu\/"},{"key":"8_CR2","unstructured":"RootMotion Final IK (2018). https:\/\/assetstore.unity.com\/packages\/tools\/animation\/final-ik-14290"},{"issue":"2","key":"8_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3463499","volume":"5","author":"K Ahuja","year":"2021","unstructured":"Ahuja, K., Ofek, E., Gonzalez-Franco, M., Holz, C., Wilson, A.D.: Coolmoves: user motion accentuation in virtual reality. Proc. ACM Interact. Mob. Wearable Ubiquit. Technol. 5(2), 1\u201323 (2021)","journal-title":"Proc. ACM Interact. Mob. Wearable Ubiquit. Technol."},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Aliakbarian, S., Cameron, P., Bogo, F., Fitzgibbon, A., Cashman, T.J.: Flag: flow-based 3D avatar generation from sparse observations. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13253\u201313262 (2022)","DOI":"10.1109\/CVPR52688.2022.01290"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Aliakbarian, S., Saleh, F., Collier, D., Cameron, P., Cosker, D.: HMD-nemo: online 3D avatar motion generation from sparse observations. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9622\u20139631 (2023)","DOI":"10.1109\/ICCV51070.2023.00882"},{"issue":"5","key":"8_CR6","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.gmod.2011.05.003","volume":"73","author":"A Aristidou","year":"2011","unstructured":"Aristidou, A., Lasenby, J.: Fabrik: a fast, iterative solver for the inverse kinematics problem. Graph. Models 73(5), 243\u2013260 (2011)","journal-title":"Graph. Models"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Armani, R., Qian, C., Jiang, J., Holz, C.: Ultra inertial poser: scalable motion capture and tracking from sparse inertial sensors and ultra-wideband ranging. In: ACM SIGGRAPH 2024 Conference Papers, SIGGRAPH 2024. Association for Computing Machinery, New York (2024)","DOI":"10.1145\/3641519.3657465"},{"key":"8_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1007\/978-3-319-46454-1_34","volume-title":"Computer Vision \u2013 ECCV 2016","author":"F Bogo","year":"2016","unstructured":"Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., Black, M.J.: Keep it SMPL: automatic estimation of 3D human pose and shape from a single image. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9909, pp. 561\u2013578. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46454-1_34"},{"key":"8_CR9","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1007\/978-3-031-20068-7_10","volume-title":"ECCV 2022, Part VI","author":"V Choutas","year":"2022","unstructured":"Choutas, V., Bogo, F., Shen, J., Valentin, J.: Learning to fit morphable models. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022, Part VI. LNCS, vol. 13666, pp. 160\u2013179. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20068-7_10"},{"issue":"1","key":"8_CR10","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1152\/jn.1997.77.1.452","volume":"77","author":"M Desmurget","year":"1997","unstructured":"Desmurget, M., Prablanc, C.: Postural control of three-dimensional prehension movements. J. Neurophysiol. 77(1), 452\u2013464 (1997)","journal-title":"J. Neurophysiol."},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Dittadi, A., Dziadzio, S., Cosker, D., Lundell, B., Cashman, T.J., Shotton, J.: Full-body motion from a single head-mounted device: Generating smpl poses from partial observations. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 11687\u201311697 (2021)","DOI":"10.1109\/ICCV48922.2021.01148"},{"key":"8_CR12","unstructured":"Dobrowolski, P.: Swing-twist decomposition in clifford algebra (2015)"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Du, Y., Kips, R., Pumarola, A., Starke, S., Thabet, A., Sanakoyeu, A.: Avatars grow legs: generating smooth human motion from sparse tracking inputs with diffusion model. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2023)","DOI":"10.1109\/CVPR52729.2023.00054"},{"issue":"1","key":"8_CR14","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/JRA.1985.1086995","volume":"1","author":"A Goldenberg","year":"1985","unstructured":"Goldenberg, A., Benhabib, B., Fenton, R.: A complete generalized solution to the inverse kinematics of robots. IEEE J. Robot. Autom. 1(1), 14\u201320 (1985)","journal-title":"IEEE J. Robot. Autom."},{"issue":"3","key":"8_CR15","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1080\/10867651.1998.10487493","volume":"3","author":"FS Grassia","year":"1998","unstructured":"Grassia, F.S.: Practical parameterization of rotations using the exponential map. J. Graph. Tools 3(3), 29\u201348 (1998)","journal-title":"J. Graph. Tools"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Grochow, K., Martin, S.L., Hertzmann, A., Popovi\u0107, Z.: Style-based inverse kinematics. In: ACM SIGGRAPH 2004 Papers, pp. 522\u2013531 (2004)","DOI":"10.1145\/1186562.1015755"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Han, S., et al.: Megatrack: monochrome egocentric articulated hand-tracking for virtual reality. ACM Trans. Graph. (ToG) 39(4), 87-1 (2020)","DOI":"10.1145\/3386569.3392452"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"Han, S., et al.: Umetrack: unified multi-view end-to-end hand tracking for VR. In: SIGGRAPH Asia 2022 Conference Papers, pp.\u00a01\u20139 (2022)","DOI":"10.1145\/3550469.3555378"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Huang, Y., Kaufmann, M., Aksan, E., Black, M.J., Hilliges, O., Pons-Moll, G.: Deep inertial poser: learning to reconstruct human pose from sparse inertial measurements in real time. ACM Trans. Graph. (Proc. SIGGRAPH Asia) 37, 185:1\u2013185:15 (2018)","DOI":"10.1145\/3272127.3275108"},{"key":"8_CR20","unstructured":"Jiang, J., Streli, P., Meier, M., Fender, A., Holz, C.: EgoPoser: Robust Real-Time Ego-Body Pose Estimation in Large Scenes. arXiv preprint arXiv:2308.06493 (2023)"},{"key":"8_CR21","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1007\/978-3-031-20065-6_26","volume-title":"ECCV 2022, Part V","author":"J Jiang","year":"2022","unstructured":"Jiang, J., et al.: Avatarposer: articulated full-body pose tracking from sparse motion sensing. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022, Part V. LNCS, vol. 13665, pp. 443\u2013460. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20065-6_26"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Jiang, Y., Ye, Y., Gopinath, D., Won, J., Winkler, A.W., Liu, C.K.: Transformer inertial poser: real-time human motion reconstruction from sparse IMUs with simultaneous terrain generation. In: SIGGRAPH Asia 2022 Conference Papers, pp.\u00a01\u20139 (2022)","DOI":"10.1145\/3550469.3555428"},{"issue":"2","key":"8_CR23","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1002\/cav.176","volume":"19","author":"M Kallmann","year":"2008","unstructured":"Kallmann, M.: Analytical inverse kinematics with body posture control. Comput. Animation Virtual Worlds 19(2), 79\u201391 (2008)","journal-title":"Comput. Animation Virtual Worlds"},{"key":"8_CR24","doi-asserted-by":"crossref","unstructured":"Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: End-to-end recovery of human shape and pose. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7122\u20137131 (2018)","DOI":"10.1109\/CVPR.2018.00744"},{"issue":"1","key":"8_CR25","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1109\/LRA.2021.3128238","volume":"7","author":"M Kang","year":"2021","unstructured":"Kang, M., Cho, Y., Yoon, S.E.: RCIK: real-time collision-free inverse kinematics using a collision-cost prediction network. IEEE Robot. Autom. Lett. 7(1), 610\u2013617 (2021)","journal-title":"IEEE Robot. Autom. Lett."},{"key":"8_CR26","doi-asserted-by":"crossref","unstructured":"Kaufmann, M., et al.: EM-pose: 3D human pose estimation from sparse electromagnetic trackers. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 11510\u201311520 (2021)","DOI":"10.1109\/ICCV48922.2021.01131"},{"issue":"6","key":"8_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3618381","volume":"42","author":"M Keller","year":"2023","unstructured":"Keller, M., et al.: From skin to skeleton: towards biomechanically accurate 3D digital humans. ACM Trans. Graph. (TOG) 42(6), 1\u201312 (2023)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"8_CR28","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: International Conference on Learning Representations (2015)"},{"key":"8_CR29","volume-title":"A Geometric Investigation of Reach","author":"JU Korein","year":"1986","unstructured":"Korein, J.U.: A Geometric Investigation of Reach. MIT Press, Cambridge (1986)"},{"key":"8_CR30","doi-asserted-by":"crossref","unstructured":"Lee, S., Starke, S., Ye, Y., Won, J., Winkler, A.: Questenvsim: environment-aware simulated motion tracking from sparse sensors. arXiv preprint arXiv:2306.05666 (2023)","DOI":"10.1145\/3588432.3591504"},{"issue":"10","key":"8_CR31","doi-asserted-by":"publisher","first-page":"1319","DOI":"10.1016\/0021-9290(96)00026-7","volume":"29","author":"MA Lemay","year":"1996","unstructured":"Lemay, M.A., Crago, P.E.: A dynamic model for simulating movements of the elbow, forearm, and wrist. J. Biomech. 29(10), 1319\u20131330 (1996)","journal-title":"J. Biomech."},{"key":"8_CR32","doi-asserted-by":"crossref","unstructured":"Li, J., Liu, K., Wu, J.: Ego-body pose estimation via ego-head pose estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 17142\u201317151 (2023)","DOI":"10.1109\/CVPR52729.2023.01644"},{"key":"8_CR33","doi-asserted-by":"crossref","unstructured":"Li, J., Bian, S., Liu, Q., Tang, J., Wang, F., Lu, C.: NIKI: neural inverse kinematics with invertible neural networks for 3D human pose and shape estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12933\u201312942 (2023)","DOI":"10.1109\/CVPR52729.2023.01243"},{"key":"8_CR34","doi-asserted-by":"crossref","unstructured":"Li, J., Xu, C., Chen, Z., Bian, S., Yang, L., Lu, C.: Hybrik: a hybrid analytical-neural inverse kinematics solution for 3D human pose and shape estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3383\u20133393 (2021)","DOI":"10.1109\/CVPR46437.2021.00339"},{"key":"8_CR35","doi-asserted-by":"crossref","unstructured":"Li, S., et al.: A mobile robot hand-arm teleoperation system by vision and IMU. In: 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 10900\u201310906. IEEE (2020)","DOI":"10.1109\/IROS45743.2020.9340738"},{"key":"8_CR36","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1007\/978-3-319-16808-1_23","volume-title":"Computer Vision \u2013 ACCV 2014","author":"S Li","year":"2015","unstructured":"Li, S., Chan, A.B.: 3D human pose estimation from monocular images with deep convolutional neural network. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9004, pp. 332\u2013347. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16808-1_23"},{"key":"8_CR37","doi-asserted-by":"crossref","unstructured":"Li, W., Liu, H., Tang, H., Wang, P., Van\u00a0Gool, L.: Mhformer: multi-hypothesis transformer for 3D human pose estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13147\u201313156 (2022)","DOI":"10.1109\/CVPR52688.2022.01280"},{"key":"8_CR38","doi-asserted-by":"crossref","unstructured":"Lin, K., Wang, L., Liu, Z.: End-to-end human pose and mesh reconstruction with transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1954\u20131963 (2021)","DOI":"10.1109\/CVPR46437.2021.00199"},{"issue":"6","key":"8_CR39","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1145\/2661229.2661273","volume":"33","author":"M Loper","year":"2014","unstructured":"Loper, M., Mahmood, N., Black, M.J.: Mosh: motion and shape capture from sparse markers. ACM Trans. Graph. 33(6), 220\u20131 (2014)","journal-title":"ACM Trans. Graph."},{"issue":"6","key":"8_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2816795.2818013","volume":"34","author":"M Loper","year":"2015","unstructured":"Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., Black, M.J.: SMPL: a skinned multi-person linear model. ACM Trans. Graph. (TOG) 34(6), 1\u201316 (2015)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"8_CR41","unstructured":"Ma, H., et al.: Transfusion: cross-view fusion with transformer for 3D human pose estimation. arXiv preprint arXiv:2110.09554 (2021)"},{"key":"8_CR42","doi-asserted-by":"crossref","unstructured":"Mahmood, N., Ghorbani, N., Troje, N.F., Pons-Moll, G., Black, M.J.: AMASS: archive of motion capture as surface shapes. In: International Conference on Computer Vision, pp. 5442\u20135451 (2019)","DOI":"10.1109\/ICCV.2019.00554"},{"issue":"3","key":"8_CR43","doi-asserted-by":"publisher","first-page":"1703","DOI":"10.1109\/TRO.2021.3123841","volume":"38","author":"F Mari\u0107","year":"2021","unstructured":"Mari\u0107, F., Giamou, M., Hall, A.W., Khoubyarian, S., Petrovi\u0107, I., Kelly, J.: Riemannian optimization for distance-geometric inverse kinematics. IEEE Trans. Rob. 38(3), 1703\u20131722 (2021)","journal-title":"IEEE Trans. Rob."},{"key":"8_CR44","doi-asserted-by":"crossref","unstructured":"Mollyn, V., Arakawa, R., Goel, M., Harrison, C., Ahuja, K.: Imuposer: full-body pose estimation using IMUs in phones, watches, and earbuds. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pp. 1\u201312 (2023)","DOI":"10.1145\/3544548.3581392"},{"key":"8_CR45","unstructured":"M\u00fcller, M., R\u00f6der, T., Clausen, M., Eberhardt, B., Kr\u00fcger, B., Weber, A.: Documentation mocap database HDM05. Technical report, CG-2007-2, Universit\u00e4t Bonn (2007)"},{"key":"8_CR46","doi-asserted-by":"crossref","unstructured":"Parger, M., Mueller, J.H., Schmalstieg, D., Steinberger, M.: Human upper-body inverse kinematics for increased embodiment in consumer-grade virtual reality. In: Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, pp. 1\u201310 (2018)","DOI":"10.1145\/3281505.3281529"},{"key":"8_CR47","doi-asserted-by":"crossref","unstructured":"Parker, J.K., Khoogar, A.R., Goldberg, D.E.: Inverse kinematics of redundant robots using genetic algorithms. In: 1989 IEEE International Conference on Robotics and Automation, pp. 271\u2013272. IEEE Computer Society (1989)","DOI":"10.1109\/ROBOT.1989.100000"},{"key":"8_CR48","doi-asserted-by":"crossref","unstructured":"Pavlakos, G., et al.: Expressive body capture: 3D hands, face, and body from a single image. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10975\u201310985 (2019)","DOI":"10.1109\/CVPR.2019.01123"},{"key":"8_CR49","doi-asserted-by":"crossref","unstructured":"Pavlakos, G., Zhou, X., Derpanis, K.G., Daniilidis, K.: Coarse-to-fine volumetric prediction for single-image 3D human pose. In: Computer Vision and Pattern Recognition (CVPR) (2017)","DOI":"10.1109\/CVPR.2017.139"},{"issue":"1","key":"8_CR50","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3625264","volume":"43","author":"JL Ponton","year":"2023","unstructured":"Ponton, J.L., Yun, H., Aristidou, A., Andujar, C., Pelechano, N.: Sparseposer: real-time full-body motion reconstruction from sparse data. ACM Trans. Graph. 43(1), 1\u201314 (2023)","journal-title":"ACM Trans. Graph."},{"issue":"2","key":"8_CR51","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/S0021-9290(00)00179-2","volume":"34","author":"R Prokopenko","year":"2001","unstructured":"Prokopenko, R., Frolov, A., Biryukova, E., Roby-Brami, A.: Assessment of the accuracy of a human arm model with seven degrees of freedom. J. Biomech. 34(2), 177\u2013185 (2001)","journal-title":"J. Biomech."},{"issue":"8","key":"8_CR52","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1016\/0021-9290(92)90226-Q","volume":"25","author":"R Raikova","year":"1992","unstructured":"Raikova, R.: A general approach for modelling and mathematical investigation of the human upper limb. J. Biomech. 25(8), 857\u2013867 (1992)","journal-title":"J. Biomech."},{"key":"8_CR53","doi-asserted-by":"crossref","unstructured":"Ruppel, P., Hendrich, N., Starke, S., Zhang, J.: Cost functions to specify full-body motion and multi-goal manipulation tasks. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 3152\u20133159. IEEE (2018)","DOI":"10.1109\/ICRA.2018.8460799"},{"key":"8_CR54","unstructured":"Seireg, A., Arvikar, R.: Biomechanical analysis of the musculoskeletal structure for medicine and sports (1989)"},{"issue":"6","key":"8_CR55","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1145\/3355089.3356505","volume":"38","author":"S Starke","year":"2019","unstructured":"Starke, S., Zhang, H., Komura, T., Saito, J.: Neural state machine for character-scene interactions. ACM Trans. Graph. 38(6), 209\u20131 (2019)","journal-title":"ACM Trans. Graph."},{"key":"8_CR56","doi-asserted-by":"crossref","unstructured":"Streli, P., Armani, R., Cheng, Y.F., Holz, C.: HOOV: hand out-of-view tracking for proprioceptive interaction using inertial sensing. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pp. 1\u201316 (2023)","DOI":"10.1145\/3544548.3581468"},{"issue":"3","key":"8_CR57","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1145\/1073204.1073218","volume":"24","author":"RW Sumner","year":"2005","unstructured":"Sumner, R.W., Zwicker, M., Gotsman, C., Popovi\u0107, J.: Mesh-based inverse kinematics. ACM Trans. Graph. (TOG) 24(3), 488\u2013495 (2005)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"8_CR58","unstructured":"Sun, X., Li, C., Lin, S.: An integral pose regression system for the ECCV2018 posetrack challenge. arXiv preprint arXiv:1809.06079 (2018)"},{"key":"8_CR59","doi-asserted-by":"crossref","unstructured":"Sun, X., Xiao, B., Liang, S., Wei, Y.: Integral human pose regression. arXiv preprint arXiv:1711.08229 (2017)","DOI":"10.1109\/ICCV.2017.284"},{"issue":"5","key":"8_CR60","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1006\/gmod.2000.0528","volume":"62","author":"D Tolani","year":"2000","unstructured":"Tolani, D., Goswami, A., Badler, N.I.: Real-time inverse kinematics techniques for anthropomorphic limbs. Graph. Models 62(5), 353\u2013388 (2000)","journal-title":"Graph. Models"},{"issue":"5","key":"8_CR61","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1167\/2.5.2","volume":"2","author":"NF Troje","year":"2002","unstructured":"Troje, N.F.: Decomposing biological motion: a framework for analysis and synthesis of human gait patterns. J. Vis. 2(5), 2\u20132 (2002)","journal-title":"J. Vis."},{"key":"8_CR62","doi-asserted-by":"crossref","unstructured":"Von\u00a0Marcard, T., Rosenhahn, B., Black, M.J., Pons-Moll, G.: Sparse inertial poser: automatic 3D human pose estimation from sparse IMUs. In: Computer Graphics Forum, vol.\u00a036, pp. 349\u2013360. Wiley Online Library (2017)","DOI":"10.1111\/cgf.13131"},{"issue":"4","key":"8_CR63","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1109\/70.86079","volume":"7","author":"LC Wang","year":"1991","unstructured":"Wang, L.C., Chen, C.C.: A combined optimization method for solving the inverse kinematics problems of mechanical manipulators. IEEE Trans. Robot. Autom. 7(4), 489\u2013499 (1991)","journal-title":"IEEE Trans. Robot. Autom."},{"key":"8_CR64","doi-asserted-by":"crossref","unstructured":"Winkler, A., Won, J., Ye, Y.: Questsim: human motion tracking from sparse sensors with simulated avatars. In: SIGGRAPH Asia 2022 Conference Papers, pp.\u00a01\u20138 (2022)","DOI":"10.1145\/3550469.3555411"},{"key":"8_CR65","doi-asserted-by":"crossref","unstructured":"Xie, X., Bhatnagar, B.L., Pons-Moll, G.: Visibility aware human-object interaction tracking from single RGB camera. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4757\u20134768 (2023)","DOI":"10.1109\/CVPR52729.2023.00461"},{"key":"8_CR66","unstructured":"Xu, Y., Zhang, J., Zhang, Q., Tao, D.: Vitpose: simple vision transformer baselines for human pose estimation. In: Advances in Neural Information Processing Systems, vol. 35, pp. 38571\u201338584 (2022)"},{"key":"8_CR67","doi-asserted-by":"crossref","unstructured":"Yang, D., Kim, D., Lee, S.H.: LOBSTR: real-time lower-body pose prediction from sparse upper-body tracking signals. In: Computer Graphics Forum, vol.\u00a040, pp. 265\u2013275. Wiley Online Library (2021)","DOI":"10.1111\/cgf.142631"},{"key":"8_CR68","doi-asserted-by":"crossref","unstructured":"Yi, X., et al.: Physical inertial poser (PIP): physics-aware real-time human motion tracking from sparse inertial sensors. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13167\u201313178 (2022)","DOI":"10.1109\/CVPR52688.2022.01282"},{"issue":"4","key":"8_CR69","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3450626.3459786","volume":"40","author":"X Yi","year":"2021","unstructured":"Yi, X., Zhou, Y., Xu, F.: Transpose: real-time 3D human translation and pose estimation with six inertial sensors. ACM Trans. Graph. (TOG) 40(4), 1\u201313 (2021)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"8_CR70","doi-asserted-by":"crossref","unstructured":"Yi, X., Zhou, Y., Xu, F.: Physical non-inertial poser (PNP): modeling non-inertial effects in sparse-inertial human motion capture. In: ACM SIGGRAPH 2024 Conference Papers, pp. 1\u201311 (2024)","DOI":"10.1145\/3641519.3657436"},{"key":"8_CR71","unstructured":"Yuan, S., et al.: 3D hand pose estimation: from current achievements to future goals. arXiv preprint arXiv:1712.03917 (2017)"},{"key":"8_CR72","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1007\/978-3-031-20065-6_30","volume-title":"ECCV 2022","author":"X Zhang","year":"2022","unstructured":"Zhang, X., Bhatnagar, B.L., Guzov, V., Starke, S., Pons-Moll, G.: Couch: towards controllable human-chair interactions. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13665, pp. 518\u2013535. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20065-6_30"},{"issue":"4","key":"8_CR73","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1145\/195826.195827","volume":"13","author":"J Zhao","year":"1994","unstructured":"Zhao, J., Badler, N.I.: Inverse kinematics positioning using nonlinear programming for highly articulated figures. ACM Trans. Graph. (TOG) 13(4), 313\u2013336 (1994)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"8_CR74","doi-asserted-by":"crossref","unstructured":"Zheng, X., Su, Z., Wen, C., Xue, Z., Jin, X.: Realistic full-body tracking from sparse observations via joint-level modeling. arXiv preprint arXiv:2308.08855 (2023)","DOI":"10.1109\/ICCV51070.2023.01349"},{"key":"8_CR75","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1007\/978-3-319-49409-8_17","volume-title":"Computer Vision \u2013 ECCV 2016 Workshops","author":"X Zhou","year":"2016","unstructured":"Zhou, X., Sun, X., Zhang, W., Liang, S., Wei, Y.: Deep kinematic pose regression. In: Hua, G., J\u00e9gou, H. (eds.) ECCV 2016. LNCS, vol. 9915, pp. 186\u2013201. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-49409-8_17"},{"key":"8_CR76","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Barnes, C., Lu, J., Yang, J., Li, H.: On the continuity of rotation representations in neural networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5745\u20135753 (2019)","DOI":"10.1109\/CVPR.2019.00589"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72627-9_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T21:04:21Z","timestamp":1729371861000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72627-9_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,20]]},"ISBN":["9783031726262","9783031726279"],"references-count":76,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72627-9_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,20]]},"assertion":[{"value":"20 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}