[38] Xinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada, Vladislav Golyanik, Christian Theobalt, and Feng Xu. 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, pages 13167-13178, 2022.
[39] Vladimir Guzov, Aymen Mir, Torsten Sattler, and Gerard Pons-Moll. Human positioning system (hps): 3d human pose estimation and self-localization in large scenes from body-mounted sensors. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4318-4329, 2021.
[40] Jiaxi Jiang, Paul Streli, Huajian Qiu, Andreas Fender, Larissa Laich, Patrick Snape, and Christian Holz. Avatarposer: Articulated full-body pose tracking from sparse motion sensing. In European Conference on Computer Vision, pages 443-460. Springer, 2022.
[41] Meysam Madadi, Hugo Bertiche, and Sergio Escalera. Smplr: Deep learning based smpl reverse for 3d human pose and shape recovery. Pattern Recognition, 106:107472, 2020.
[42] Yalin Liao, Aleksandar Vakanski, and Min Xian. A deep learning framework for assessing physical rehabilitation exercises. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(2):468-477, 2020.
[43] Maja Pantic and Leon JM Rothkrantz. Toward an affect-sensitive multimodal human-computer interaction. Proceedings of the IEEE, 91(9):1370-1390, 2003.
[44] Alejandro Jaime and Nicu Sebe. Multimodal human-computer interaction: A survey. Computer vision and image understanding, 108(1-2):116-134, 2007.
[45] Feng Wen, Zhongda Sun, Tianyiye He, Qiongfeng Shi, Minglu Zhu, Zixuan Zhang, Lianhui Li, Ting Zhang, and Chengkuo Lee. Machine learning glove using self-powered conductive superhydrophobic triboelectric textile for gesture recognition in vr/ar applications. Advanced science, 7(14):2000261, 2020.
[46] Alberto Libanori, Guorui Chen, Xun Zhao, Yihao Zhou, and Jun Chen. Smart textiles for personalized healthcare. Nature Electronics, 5(3):142-156, 2022.
[47] Sungwoo Chun, Jong-Seok Kim, Yongsang Yoo, Youngin Choi, Sung Jun Jung, Dongpyo Jang, Gwangyeob Lee, Kang-II Song, Kum Seok Nam, Inchan Youn, et al. An artificial neural tactile sensing system. Nature Electronics, 4(6):429-438, 2021.
[48] V Vechev J Zarate and B Thomaszewski O Hilliges. Computational design of kinesthetic garments. 2022.
[49] Yiyue Luo, Kui Wu, Tomás Palacios, and Wojciech Matusik. Knitui: Fabricating interactive and sensing textiles with machine knitting. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pages 1-12, 2021.
[50] Yiyue Luo, Kui Wu, Andrew Spielberg, Michael Foshey, Daniela Rus, Tomás Palacios, and Wojciech Matusik. Digital fabrication of pneumatic actuators with integrated sensing by machine knitting. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, pages 1–13, 2022.
[51] Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B Tenenbaum, Wojciech Matusik, and Antonio Torralba. Dynamic modeling of hand-object interactions via tactile sensing. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2874-2881. IEEE, 2021.
[52] Zengrong Guo and Rong-Hao Liang. Texonmask: Facial expression recognition using textile electrodes on commodity facemasks. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pages 1-15, 2023.
[53] Guanghua Xu, Quan Wan, Wenwu Deng, Tao Guo, and Jingyuan Cheng. Smart-sleeve: A wearable textile pressure sensor array for human activity recognition. Sensors, 22(5):1702, 2022.