Abstract
We present MoCaPose, a novel wearable motion capturing (MoCap) approach to continuously track the wearer's upper body's dynamic poses through multi-channel capacitive sensing integrated in fashionable, loose-fitting jackets. Unlike conventional wearable IMU MoCap based on inverse dynamics, MoCaPose decouples the sensor position from the pose system. MoCaPose uses a deep regressor to continuously predict the 3D upper body joints coordinates from 16-channel textile capacitive sensors, unbound by specific applications. The concept is implemented through two prototyping iterations to first solve the technical challenges, then establish the textile integration through fashion-technology co-design towards a design-centric smart garment. A 38-hour dataset of synchronized video and capacitive data from 21 participants was recorded for validation. The motion tracking result was validated on multiple levels from statistics (R2 ~ 0.91) and motion tracking metrics (MP JPE ~ 86mm) to the usability in pose and motion recognition (0.9 F1 for 10-class classification with unsupervised class discovery). The design guidelines impose few technical constraints, allowing the wearable system to be design-centric and usecase-specific. Overall, MoCaPose demonstrates that textile-based capacitive sensing with its unique advantages, can be a promising alternative for wearable motion tracking and other relevant wearable motion recognition applications.
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Supplemental movie, appendix, image and software files for, MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Loose-fitting Smart Garments
- 2022. EasyMoCap - Make human motion capture easier. Github. https://github.com/zju3dv/EasyMocapGoogle Scholar
- 2022. Shieldex Bremen PW. https://www.shieldex.de/products/shieldex-bremen-pw/Google Scholar
- Fatemeh Abyarjoo, Armando Barreto, Jonathan Cofino, and Francisco R Ortega. 2015. Implementing a sensor fusion algorithm for 3D orientation detection with inertial/magnetic sensors. In Innovations and advances in computing, informatics, systems sciences, networking and engineering. Springer, 305--310.Google Scholar
- Talha Agcayazi, Murat A Yokus, Max Gordon, Tushar Ghosh, and Alper Bozkurt. 2017. A stitched textile-based capacitive respiration sensor. In 2017 IEEE SENSORS. IEEE, 1--3.Google Scholar
- Karan Ahuja, Paul Streli, and Christian Holz. 2021. TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images. In The 34th Annual ACM Symposium on User Interface Software and Technology. 997--1009.Google ScholarDigital Library
- Mazen Al Borno, Johanna O'Day, Vanessa Ibarra, James Dunne, Ajay Seth, Ayman Habib, Carmichael Ong, Jennifer Hicks, Scott Uhlrich, and Scott Delp. 2022. OpenSense: An open-source toolbox for inertial-measurement-unit-based measurement of lower extremity kinematics over long durations. Journal of neuroengineering and rehabilitation 19, 1 (2022), 1--11.Google ScholarCross Ref
- I Al-Nasri, Aaron David Price, Ana Luisa Trejos, and David M Walton. 2019. A commercially available capacitive stretch-sensitive sensor for measurement of rotational neck movement in healthy people: Proof of concept. In 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR). IEEE, 163--168.Google ScholarDigital Library
- Anindya Das Antar, Masud Ahmed, and Md Atiqur Rahman Ahad. 2019. Challenges in sensor-based human activity recognition and a comparative analysis of benchmark datasets: a review. In 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 134--139.Google Scholar
- Abdul Hakeem Anwer, Nishat Khan, Mohd Zahid Ansari, Sang-Soo Baek, Hoon Yi, Soeun Kim, Seung Man Noh, and Changyoon Jeong. 2022. Recent Advances in Touch Sensors for Flexible Wearable Devices. Sensors 22, 12 (2022), 4460.Google ScholarCross Ref
- Ozgur Atalay. 2018. Textile-based, interdigital, capacitive, soft-strain sensor for wearable applications. Materials 11, 5 (2018), 768.Google ScholarCross Ref
- Chaiyawan Auepanwiriyakul, Sigourney Waibel, Joanna Songa, Paul Bentley, and A Aldo Faisal. 2020. Accuracy and acceptability of wearable motion tracking for inpatient monitoring using smartwatches. Sensors 20, 24 (2020), 7313.Google ScholarCross Ref
- Christopher A Bailey, Thomas K Uchida, Julie Nantel, and Ryan B Graham. 2021. Validity and sensitivity of an inertial measurement unit-driven biomechanical model of motor variability for gait. Sensors 21, 22 (2021), 7690.Google ScholarCross Ref
- Hymalai Bello, Bo Zhou, Sungho Suh, and Paul Lukowicz. 2021. Mocapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas. In 2021 International Symposium on Wearable Computers. 78--83.Google ScholarDigital Library
- Hymalai Bello, Bo Zhou, Sungho Suh, Luis Alfredo Sanchez Marin, and Paul Lukowicz. 2022. Move With the Theremin: Body Posture and Gesture Recognition Using the Theremin in Loose-Garment With Embedded Textile Cables as Antennas. Frontiers in Computer Science (2022), 72.Google Scholar
- Sizhen Bian and Paul Lukowicz. 2021. Capacitive sensing based on-board hand gesture recognition with TinyML. In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. 4--5.Google ScholarDigital Library
- Sizhen Bian and Paul Lukowicz. 2021. A systematic study of the influence of various user specific and environmental factors on wearable human body capacitance sensing. In EAI International Conference on Body Area Networks. Springer, 247--274.Google Scholar
- Sizhen Bian, Vitor F Rey, Peter Hevesi, and Paul Lukowicz. 2019. Passive capacitive based approach for full body gym workout recognition and counting. In 2019 IEEE International Conference on Pervasive Computing and Communications (PerCom. IEEE, 1--10.Google ScholarCross Ref
- Sizhen Bian, Vitor F Rey, Junaid Younas, and Paul Lukowicz. 2019. Wrist-worn capacitive sensor for activity and physical collaboration recognition. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, 261--266.Google ScholarCross Ref
- Kyle J Boddy, Joseph A Marsh, Alex Caravan, Kyle E Lindley, John O Scheffey, and Michael E O'Connell. 2019. Exploring wearable sensors as an alternative to marker-based motion capture in the pitching delivery. PeerJ 7 (2019), e6365.Google ScholarCross Ref
- Sameh Neili Boualia and Najoua Essoukri Ben Amara. 2019. Pose-based human activity recognition: a review. In 2019 15th international wireless communications & mobile computing conference (IWCMC). IEEE, 1468--1475.Google Scholar
- Arianna Carnevale, Umile Giuseppe Longo, Emiliano Schena, Carlo Massaroni, Daniela Lo Presti, Alessandra Berton, Vincenzo Candela, and Vincenzo Denaro. 2019. Wearable systems for shoulder kinematics assessment: A systematic review. BMC musculoskeletal disorders 20, 1 (2019), 1--24.Google Scholar
- Shaoxiang Chen, Ting Yao, and Yu-Gang Jiang. 2019. Deep Learning for Video Captioning: A Review.. In IJCAI, Vol. 1. 2.Google Scholar
- Jingyuan Cheng, Bo Zhou, Kai Kunze, Carl Christian Rheinländer, Sebastian Wille, Norbert Wehn, Jens Weppner, and Paul Lukowicz. 2013. Activity recognition and nutrition monitoring in every day situations with a textile capacitive neckband. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. 155--158.Google ScholarDigital Library
- Kunigunde Cherenack and Liesbeth Van Pieterson. 2012. Smart textiles: Challenges and opportunities. Journal of Applied Physics 112, 9 (2012), 091301.Google ScholarCross Ref
- P Chinmilli, Sangram Redkar, Wenlong Zhang, and Tom Sugar. 2017. A review on wearable inertial tracking based human gait analysis and control strategies of lower-limb exoskeletons. Int. Robot. Autom. J 3, 7 (2017), 00080.Google Scholar
- Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, and Mohit Bansal. 2022. Fine-grained image captioning with clip reward. arXiv preprint arXiv:2205.13115 (2022).Google Scholar
- Minho Choi and Sang Woo Kim. 2017. Driver's movement monitoring system using capacitive ECG sensors. In 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE). IEEE, 1--2.Google ScholarCross Ref
- Gabe Cohn, Sidhant Gupta, Tien-Jui Lee, Dan Morris, Joshua R Smith, Matthew S Reynolds, Desney S Tan, and Shwetak N Patel. 2012. An ultra-low-power human body motion sensor using static electric field sensing. In Proceedings of the 2012 ACM conference on ubiquitous computing. 99--102.Google ScholarDigital Library
- Gabe Cohn, Daniel Morris, Shwetak N Patel, and Desney S Tan. 2011. Your noise is my command: sensing gestures using the body as an antenna. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 791--800.Google ScholarDigital Library
- Kaya de Barbaro. 2019. Automated sensing of daily activity: A new lens into development. Developmental psychobiology 61, 3 (2019), 444--464.Google Scholar
- Junting Dong, Qi Fang, Wen Jiang, Yurou Yang, Hujun Bao, and Xiaowei Zhou. 2021. Fast and Robust Multi-Person 3D Pose Estimation and Tracking from Multiple Views. In T-PAMI.Google Scholar
- Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, and Andrew Zisserman. 2020. Counting out time: Class agnostic video repetition counting in the wild. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 10387--10396.Google ScholarCross Ref
- Qi Fang, Qing Shuai, Junting Dong, Hujun Bao, and Xiaowei Zhou. 2021. Reconstructing 3D Human Pose by Watching Humans in the Mirror. In CVPR.Google Scholar
- Gabriele Frediani, Federica Vannetti, Leonardo Bocchi, Giovanni Zonfrillo, and Federico Carpi. 2021. Monitoring Flexions and Torsions of the Trunk via Gyroscope-Calibrated Capacitive Elastomeric Wearable Sensors. Sensors 21, 20 (2021), 6706.Google ScholarCross Ref
- A Garinei and R Marsili. 2014. Development of a new capacitive matrix for a steering wheel's pressure distribution measurement. International Journal of Industrial Ergonomics 44, 1 (2014), 114--119.Google ScholarCross Ref
- Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan, and Cees GM Snoek. 2020. Actor-transformers for group activity recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 839--848.Google ScholarCross Ref
- John Ghattas and Danielle N Jarvis. 2021. Validity of inertial measurement units for tracking human motion: a systematic review. Sports Biomechanics (2021), 1--14.Google Scholar
- Hristijan Gjoreski and Daniel Roggen. 2017. Unsupervised online activity discovery using temporal behaviour assumption. In Proceedings of the 2017 ACM International Symposium on Wearable Computers. 42--49.Google ScholarDigital Library
- Tobias Grosse-Puppendahl, Eugen Berlin, and Marko Borazio. 2012. Enhancing accelerometer-based activity recognition with capacitive proximity sensing. In International Joint Conference on Ambient Intelligence. Springer, 17--32.Google ScholarCross Ref
- Tobias Grosse-Puppendahl, Christian Holz, Gabe Cohn, Raphael Wimmer, Oskar Bechtold, Steve Hodges, Matthew S Reynolds, and Joshua R Smith. 2017. Finding common ground: A survey of capacitive sensing in human-computer interaction. In Proceedings of the 2017 CHI conference on human factors in computing systems. 3293--3315.Google ScholarDigital Library
- Harish Haresamudram, David V Anderson, and Thomas Plötz. 2019. On the role of features in human activity recognition. In Proceedings of the 23rd International symposium on wearable computers. 78--88.Google ScholarDigital Library
- Edward F Harris and Richard N Smith. 2009. Accounting for measurement error: a critical but often overlooked process. Archives of oral biology 54 (2009), S107-S117.Google Scholar
- Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J Black, Otmar Hilliges, and Gerard Pons-Moll. 2018. Deep inertial poser: Learning to reconstruct human pose from sparse inertial measurements in real time. ACM Transactions on Graphics (TOG) 37, 6 (2018), 1--15.Google ScholarDigital Library
- Jihye Hwang, John Yang, and Nojun Kwak. 2020. Exploring Rare Pose in Human Pose Estimation. IEEE Access 8 (2020), 194964--194977.Google ScholarCross Ref
- Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu. 2013. Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments. IEEE transactions on pattern analysis and machine intelligence 36, 7 (2013), 1325--1339.Google Scholar
- Yifeng Jiang, Yuting Ye, Deepak Gopinath, Jungdam Won, Alexander W Winkler, and C Karen Liu. 2022. Transformer Inertial Poser: Attention-based Real-time Human Motion Reconstruction from Sparse IMUs. arXiv preprint arXiv:2203.15720 (2022).Google Scholar
- Haojian Jin, Zhijian Yang, Swarun Kumar, and Jason I Hong. 2018. Towards wearable everyday body-frame tracking using passive RFIDs. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 4 (2018), 1--23.Google ScholarDigital Library
- Manuel Kaufmann, Yi Zhao, Chengcheng Tang, Lingling Tao, Christopher Twigg, Jie Song, Robert Wang, and Otmar Hilliges. 2021. Em-pose: 3d human pose estimation from sparse electromagnetic trackers. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 11510--11520.Google ScholarCross Ref
- Karly Kudrinko, Emile Flavin, Xiaodan Zhu, and Qingguo Li. 2020. Wearable sensor-based sign language recognition: A comprehensive review. IEEE Reviews in Biomedical Engineering 14 (2020), 82--97.Google ScholarCross Ref
- Kai Kunze and Paul Lukowicz. 2008. Dealing with sensor displacement in motion-based onbody activity recognition systems. In Proceedings of the 10th international conference on Ubiquitous computing. 20--29.Google ScholarDigital Library
- Chang June Lee and Jung Keun Lee. 2022. Inertial Motion Capture-Based Wearable Systems for Estimation of Joint Kinetics: A Systematic Review. Sensors 22, 7 (2022), 2507.Google Scholar
- Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Xinyu Huang, and Marcin Grzegorzek. 2020. Deep transfer learning for time series data based on sensor modality classification. Sensors 20, 15 (2020), 4271.Google ScholarCross Ref
- Ruilong Li, Shan Yang, David A Ross, and Angjoo Kanazawa. 2021. Ai choreographer: Music conditioned 3d dance generation with aist++. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 13401--13412.Google ScholarCross Ref
- Siming Li, Ruiqing Li, Tianjiao Chen, and Xueliang Xiao. 2020. Highly sensitive and flexible capacitive pressure sensor enhanced by weaving of pyramidal concavities staggered in honeycomb matrix. IEEE Sensors Journal 20, 23 (2020), 14436--14443.Google ScholarCross Ref
- Sheng Li, Zhiqiang Tao, Kang Li, and Yun Fu. 2019. Visual to text: Survey of image and video captioning. IEEE Transactions on Emerging Topics in Computational Intelligence 3, 4 (2019), 297--312.Google ScholarCross Ref
- Han Liang, Yannan He, Chengfeng Zhao, Mutian Li, Jingya Wang, Jingyi Yu, and Lan Xu. 2022. HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions. arXiv preprint arXiv:2203.09287 (2022).Google Scholar
- Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014. Microsoft coco: Common objects in context. In European conference on computer vision. Springer, 740--755.Google ScholarCross Ref
- Mengmeng Liu, Xiong Pu, Chunyan Jiang, Ting Liu, Xin Huang, Libo Chen, Chunhua Du, Jiangman Sun, Weiguo Hu, and Zhong Lin Wang. 2017. Large-area all-textile pressure sensors for monitoring human motion and physiological signals. Advanced materials 29, 41 (2017), 1703700.Google Scholar
- Shiqiang Liu, Junchang Zhang, Yuzhong Zhang, and Rong Zhu. 2020. A wearable motion capture device able to detect dynamic motion of human limbs. Nature communications 11, 1 (2020), 1--12.Google Scholar
- Shi Qiang Liu, Jun Chang Zhang, Guo Zhen Li, and Rong Zhu. 2020. A wearable flow-MIMU device for monitoring human dynamic motion. IEEE Transactions on Neural Systems and Rehabilitation Engineering 28, 3 (2020), 637--645.Google ScholarCross Ref
- Michael Lorenz, Gabriele Bleser, Takayuki Akiyama, Takehiro Niikura, Didier Stricker, and Bertram Taetz. 2022. Towards Artefact Aware Human Motion Capture using Inertial Sensors Integrated into Loose Clothing. In 2022 International Conference on Robotics and Automation (ICRA). IEEE, 1682--1688.Google ScholarDigital Library
- Zhuyu Ma, Yang Zhang, Kaiyi Zhang, Hua Deng, and Qiang Fu. 2022. Recent progress in flexible capacitive sensors: Structures and properties. Nano Materials Science (2022).Google Scholar
- Naureen Mahmood, Nima Ghorbani, Nikolaus F Troje, Gerard Pons-Moll, and Michael J Black. 2019. AMASS: Archive of motion capture as surface shapes. In Proceedings of the IEEE/CVF international conference on computer vision. 5442--5451.Google ScholarCross Ref
- Denys JC Matthies, Chamod Weerasinghe, Bodo Urban, and Suranga Nanayakkara. 2021. Capglasses: Untethered capacitive sensing with smart glasses. In Augmented Humans Conference 2021. 121--130.Google Scholar
- Denys JC Matthies, Alex Woodall, and Bodo Urban. 2021. Prototyping Smart Eyewear with Capacitive Sensing for Facial and Head Gesture Detection. In Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. 476--480.Google Scholar
- Jonathan Samir Matthis and Aaron Cherian. 2022. FreeMoCap: A free, open source markerless motion capture system. https://github.com/freemocap/freemocap/Google Scholar
- Denisa Qori McDonald, Richard Vallett, Erin Solovey, Geneviève Dion, and Ali Shokoufandeh. 2020. Knitted Sensors: Designs and Novel Approaches for Real-Time, Real-World Sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 4 (2020), 1--25.Google ScholarDigital Library
- Zhaozong Meng, Mingxing Zhang, Changxin Guo, Qirui Fan, Hao Zhang, Nan Gao, and Zonghua Zhang. 2020. Recent progress in sensing and computing techniques for human activity recognition and motion analysis. Electronics 9, 9 (2020), 1357.Google ScholarCross Ref
- Matteo Menolotto, Dimitrios-Sokratis Komaris, Salvatore Tedesco, Brendan O'Flynn, and Michael Walsh. 2020. Motion capture technology in industrial applications: A systematic review. Sensors 20, 19 (2020), 5687.Google ScholarCross Ref
- Jieming Pan, Yuxuan Luo, Yida Li, Chen-Khong Tham, Chun-Huat Heng, and Aaron Voon-Yew Thean. 2020. A wireless multi-channel capacitive sensor system for efficient glove-based gesture recognition with AI at the edge. IEEE Transactions on Circuits and Systems II: Express Briefs 67, 9 (2020), 1624--1628.Google ScholarCross Ref
- Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli. 2019. 3D human pose estimation in video with temporal convolutions and semi-supervised training. In Conference on Computer Vision and Pattern Recognition (CVPR).Google ScholarCross Ref
- Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, and Xiaowei Zhou. 2021. Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans. In CVPR.Google Scholar
- Lukasz Piwek, David A Ellis, Sally Andrews, and Adam Joinson. 2016. The rise of consumer health wearables: promises and barriers. PLoS medicine 13, 2 (2016), e1001953.Google Scholar
- Chiara Plizzari, Marco Cannici, and Matteo Matteucci. 2021. Skeleton-based action recognition via spatial and temporal transformer networks. Computer Vision and Image Understanding 208 (2021), 103219.Google ScholarCross Ref
- Franchino Porciuncula, Anna Virginia Roto, Deepak Kumar, Irene Davis, Serge Roy, Conor J Walsh, and Louis N Awad. 2018. Wearable movement sensors for rehabilitation: a focused review of technological and clinical advances. Pm&r 10, 9 (2018), S220-S232.Google Scholar
- Ivan Poupyrev, Nan-Wei Gong, Shiho Fukuhara, Mustafa Emre Karagozler, Carsten Schwesig, and Karen E Robinson. 2016. Project Jacquard: interactive digital textiles at scale. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 4216--4227.Google ScholarDigital Library
- E Ramanujam, Thinagaran Perumal, and S Padmavathi. 2021. Human activity recognition with smartphone and wearable sensors using deep learning techniques: A review. IEEE Sensors Journal 21, 12 (2021), 13029--13040.Google ScholarCross Ref
- Manju Rana and Vikas Mittal. 2020. Wearable sensors for real-time kinematics analysis in sports: a review. IEEE Sensors Journal 21, 2 (2020), 1187--1207.Google ScholarCross Ref
- Christopher Reining, Friedrich Niemann, Fernando Moya Rueda, Gernot A Fink, and Michael ten Hompel. 2019. Human activity recognition for production and logistics---a systematic literature review. Information 10, 8 (2019), 245.Google ScholarCross Ref
- Yili Ren, Zi Wang, Sheng Tan, Yingying Chen, and Jie Yang. 2021. Winect: 3d human pose tracking for free-form activity using commodity wifi. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, 4 (2021), 1--29.Google ScholarDigital Library
- Douglas A Reynolds. 2009. Gaussian mixture models. Encyclopedia of biometrics 741, 659--663 (2009).Google Scholar
- Aaqib Saeed, Tanir Ozcelebi, and Johan Lukkien. 2019. Multi-task self-supervised learning for human activity detection. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 2 (2019), 1--30.Google ScholarDigital Library
- Nikolaos Sarafianos, Bogdan Boteanu, Bogdan Ionescu, and Ioannis A Kakadiaris. 2016. 3d human pose estimation: A review of the literature and analysis of covariates. Computer Vision and Image Understanding 152 (2016), 1--20.Google ScholarDigital Library
- Fatemeh Serpush, Mohammad Bagher Menhaj, Behrooz Masoumi, and Babak Karasfi. 2022. Wearable Sensor-Based Human Activity Recognition in the Smart Healthcare System. Computational Intelligence and Neuroscience 2022 (2022).Google Scholar
- Young-Eun Shin, Jeong-Eun Lee, Yoojeong Park, Sang-Ha Hwang, Han Gi Chae, and Hyunhyub Ko. 2018. Sewing machine stitching of polyvinylidene fluoride fibers: programmable textile patterns for wearable triboelectric sensors. Journal of Materials Chemistry A 6, 45 (2018), 22879--22888.Google ScholarCross Ref
- Monit Shah Singh, Vinaychandran Pondenkandath, Bo Zhou, Paul Lukowicz, and Marcus Liwickit. 2017. Transforming sensor data to the image domain for deep learning---An application to footstep detection. In 2017 International Joint Conference on Neural Networks (IJCNN). IEEE, 2665--2672.Google ScholarCross Ref
- Patrick Slade, Ayman Habib, Jennifer L Hicks, and Scott L Delp. 2021. An open-source and wearable system for measuring 3D human motion in real-time. IEEE Transactions on Biomedical Engineering 69, 2 (2021), 678--688.Google ScholarCross Ref
- Wolfgang Teufl, Markus Miezal, Bertram Taetz, Michael Fröhlich, and Gabriele Bleser. 2019. Validity of inertial sensor based 3D joint kinematics of static and dynamic sport and physiotherapy specific movements. PloS one 14, 2 (2019), e0213064.Google ScholarCross Ref
- Texas Instruments 2015. FDC2x1x EMI-Resistant 28-Bit,12-Bit Capacitance-to-Digital Converter for Proximity and Level Sensing Applications. Texas Instruments.Google Scholar
- Matthew Trumble, Andrew Gilbert, Charles Malleson, Adrian Hilton, and John Collomosse. 2017. Total capture: 3d human pose estimation fusing video and inertial sensors. In Proceedings of 28th British Machine Vision Conference. 1--13.Google ScholarCross Ref
- Shuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki, and Masataka Goto. 2019. AIST Dance Video Database: Multi-Genre, Multi-Dancer, and Multi-Camera Database for Dance Information Processing.. In ISMIR, Vol. 1. 6.Google Scholar
- Hanyue Tu, Chunyu Wang, and Wenjun Zeng. 2020. Voxelpose: Towards multi-camera 3d human pose estimation in wild environment. In European Conference on Computer Vision. Springer, 197--212.Google ScholarDigital Library
- Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, and Luc Van Gool. 2020. Scan: Learning to classify images without labels. In European conference on computer vision. Springer, 268--285.Google ScholarDigital Library
- Jinbao Wang, Shujie Tan, Xiantong Zhen, Shuo Xu, Feng Zheng, Zhenyu He, and Ling Shao. 2021. Deep 3D human pose estimation: A review. Computer Vision and Image Understanding 210 (2021), 103225.Google ScholarDigital Library
- Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita, and Daniel Roggen. 2021. Three-year review of the 2018-2020 SHL challenge on transportation and locomotion mode recognition from mobile sensors. Frontiers in Computer Science (2021).Google Scholar
- Mathias Wilhelm, Jan-Peter Lechler, Daniel Krakowczyk, and Sahin Albayrak. 2020. Ring-based finger tracking using capacitive sensors and long short-term memory. In Proceedings of the 25th International Conference on Intelligent User Interfaces. 551--555.Google ScholarDigital Library
- WK Wong, Filbert H Juwono, and Brendan Teng Thiam Khoo. 2021. Multi-features capacitive hand gesture recognition sensor: A machine learning approach. IEEE Sensors Journal 21, 6 (2021), 8441--8450.Google ScholarCross Ref
- Emil Woop, Esther Friederike Zahn, Rahel Flechtner, and Gesche Joost. 2020. Demonstrating a Modular Construction Toolkit for Interactive Textile Applications. In Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society. 1--4.Google ScholarDigital Library
- Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick. 2019. Detectron2. https://github.com/facebookresearch/detectron2.Google Scholar
- Chenggang Yan, Yunbin Tu, Xingzheng Wang, Yongbing Zhang, Xinhong Hao, Yongdong Zhang, and Qionghai Dai. 2019. STAT: Spatial-temporal attention mechanism for video captioning. IEEE transactions on multimedia 22, 1 (2019), 229--241.Google Scholar
- Ruiyang Yin, Depeng Wang, Shufang Zhao, Zheng Lou, and Guozhen Shen. 2021. Wearable sensors-enabled human-machine interaction systems: from design to application. Advanced Functional Materials 31, 11 (2021), 2008936.Google ScholarCross Ref
- Quanzeng You, Hailin Jin, Zhaowen Wang, Chen Fang, and Jiebo Luo. 2016. Image captioning with semantic attention. In Proceedings of the IEEE conference on computer vision and pattern recognition. 4651--4659.Google ScholarCross Ref
- Qi Zhang, Yu Lu Wang, Yun Xia, Timothy Vernon Kirk, and Xiao Dong Chen. 2020. Textile-Only capacitive sensors with a lockstitch structure for facile integration in any areas of a fabric. ACS sensors 5, 6 (2020), 1535--1540.Google Scholar
- Qi Zhang, Yu Lu Wang, Yun Xia, Peng Fei Zhang, Timothy V Kirk, and Xiao Dong Chen. 2019. Textile-only capacitive sensors for facile fabric integration without compromise of wearability. Advanced Materials Technologies 4, 10 (2019), 1900485.Google ScholarCross Ref
- Boyu Zhao, Zhijia Dong, and Honglian Cong. 2022. A wearable and fully-textile capacitive sensor based on flat-knitted spacing fabric for human motions detection. Sensors and Actuators A: Physical 340 (2022), 113558.Google ScholarCross Ref
- Enhao Zheng, Jingeng Mai, Yuxiang Liu, and Qining Wang. 2018. Forearm motion recognition with noncontact capacitive sensing. Frontiers in Neurorobotics 12 (2018), 47.Google ScholarCross Ref
- Huiyu Zhou, Thomas Stone, Huosheng Hu, and Nigel Harris. 2008. Use of multiple wearable inertial sensors in upper limb motion tracking. Medical engineering & physics 30, 1 (2008), 123--133.Google Scholar
Index Terms
- MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Loose-fitting Smart Garments
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