The JuBot Project, or “Stay Young with Robots,” focuses on improving the quality of life for seniors through the use of robotics. The project aims to enhance human-robot interaction by studying human activity recognition, allowing for a more intuitive and seamless interface. By analyzing and modeling human actions and behaviors, the system will recognize and respond to seniors’ needs in real-time. The project is a collaborative effort between experts in robotics, machine learning, and human-computer interaction, and seeks to create a user-friendly and effective solution to support and care for seniors.

Publications

• Zhao, Haibin, et al. “Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer.” Proceedings of the 2022 ACM International Symposium on Wearable Computers. 2022.
• Zhou, Yexu, et al. “TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition.” Proceedings of the 2022 ACM International Symposium on Wearable Computers. 2022.
• Röddiger, Tobias, et al. “Sensing with Earables: A Systematic Literature Review and Taxonomy of Phenomena.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6.3 (2022): 1-57.
• Haibin Zhao et al. “Split Additive Manufacturing for Printed Neuromorphic Circuits”. In: 2023 Design, Automation & Test in Europe Conference & Exhi- bition (DATE). IEEE. 2023.