[1] Arata Horie, Ryo Murata, Zendai Kashino, and Masahiko Inami. Seeing is feeling: A novel haptic display for wearer-observer mutual haptic understanding. In SIGGRAPH Asia 2022 Emerging Technologies, pages 1–2. 2022.
[2] Young Jin Yoo, Se-Yeon Heo, Yeong Jae Kim, Joo Hwan Ko, Zafrin Ferdous Mira, and Young Min Song. Functional photonic structures for external interaction with flexible/wearable devices. Nano Research, 14(9):2904-2918, 2021.
[3] Sheikh Iqbal, Imadeldin Mahgoub, E Du, Mary Ann Leavitt, and Waseem Asghar. Advances in healthcare wearable devices. NPJ Flexible Electronics, 5(1):1-14, 2021.
[4] Tianyiyei He, Feng Wen, Yanqin Yang, Xianhao Le, Weixin Liu, and Chengkuo Lee. Emerging wearable chemical sensors enabling advanced integrated systems toward personalized and preventive medicine. Analytical Chemistry, 95(1):490-514, 2023.
[5] Xiaowei Chen, Xiao Jiang, Jiawei Fang, Shihui Guo, Juncong Lin, Minghong Liao, Guoliang Luo, and Hongbo Fu. Dispad: Flexible on-body displacement of fabric sensors for robust joint-motion tracking. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7(1):1-27, 2023.
[6] Takao Someya and Masayuki Amagai. Toward a new generation of smart skins. Nature biotechnology, 37(4):382-388, 2019.
[7] Yiqiang Chen, Jindong Wang, Meiyu Huang, and Han Yu. Cross-position activity recognition with stratified transfer learning. Pervasive and Mobile Computing, 57:1-13, 2019.
[8] Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, and Qiang Yang. Easy transfer learning by exploiting intra-domain structures. In 2019 IEEE international conference on multimedia and expo (ICME), pages 1210-1215. IEEE, 2019.
[9] Boqing Gong, Yuan Shi, Fei Sha, and Kristen Grauman. Geodesic flow kernel for unsupervised domain adaptation. In 2012 IEEE conference on computer vision and pattern recognition, pages 2066-2073. IEEE, 2012.
[10] Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, and Philip S Yu. Visual domain adaptation with manifold embedded distribution alignment. In Proceedings of the 26th ACM international conference on Multimedia, pages 402-410, 2018.
[11] Jindong Wang, Yiqiang Chen, Shuju Hao, Wenjie Feng, and Zhiqi Shen. Balanced distribution adaptation for transfer learning. In 2017 IEEE international conference on data mining (ICDM), pages 1129-1134. IEEE, 2017.
[12] Jindong Wang, Yiqiang Chen, Lisha Hu, Xiaohui Peng, and S Yu Philip. Stratified transfer learning for cross-domain activity recognition. In 2018 IEEE international conference on pervasive computing and communications (PerCom), pages 1-10. IEEE, 2018.
[13] Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson. How transferable are features in deep neural networks? Advances in neural information processing systems, 27, 2014.
[14] Eric Tzeng, Judy Hoffman, Ning Zhang, Kate Saenko, and Trevor Darrell. Deep domain confusion: Maximizing for domain invariance. arXiv preprint arXiv:1412.3474, 2014.
[15] Arthur Gretton, Dino Sejdinovic, Heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu, and Bharath K Sriperumbudur. Optimal kernel choice for large-scale two-sample tests. Advances in neural information processing systems, 25, 2012.
[16] Baochen Sun and Kate Saenko. Deep coral: Correlation alignment for deep domain adaptation. In European conference on computer vision, pages 443-450. Springer, 2016.
[17] Baochen Sun, Jiashi Feng, and Kate Saenko. Return of frustratingly easy domain adaptation. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 30, 2016.