Fan Ye

Schoenfeld, E., Trimboli, T., Ayisi-Boahene, G., Bruckenthal, P., Zadok, E., Horwitz, S., & Ye, F. (2023). SMART AGING: ENGAGING OLDER ADULTS TO GUIDE SENSOR DEVELOPMENT TO SUPPORT AGING IN PLACE. Innovation in Aging, 7(Supplement_1), 1. http://doi.org/10.1093/geroni/igad104.1908

Schoenfeld, E., Trimboli, T., Finnerty, K., Ayisi-Boahene, G., Bruckenthal, P., Zadok, E., … Ye, F. (2023). ENGAGING OLDER ADULTS TO GUIDE LOW-COST NONWEARABLE SENSOR TECHNOLOGY DEVELOPMENT TO AGE IN PLACE: SURVEY FINDINGS. Innovation in Aging, 7(Supplement_1), 1. http://doi.org/10.1093/geroni/igad104.2247

Dharangutte, P., Xie, Z., Gao, J., Schoenfeld, E., Hua, Y., & Ye, F. (2023). HeartInsightify: Interpreting Longitudinal Heart Rate Data for Health Insights through Conformal Clustering. In . IEEE International Conference on Bioinformatics and Biomedicine. Retrieved from https://par.nsf.gov/biblio/10536446

Liu, M., Elbadry, M., Hua, Y., Xie, Z., & Ye, F. (2023). Proteus: Towards a Manageability-focused Home-based Health Monitoring Infrastructure. In (p. 6). ACM. http://doi.org/10.1145/3584371.3613006

Hua, Y., Xie, Z., & Ye, F. (2023). A Study of Practical Radar-based Nighttime Respiration Monitoring at Home. In IEEE Radar conference. http://doi.org/10.1109/RadarConf2351548.2023.10149560

Xie, Z., Nederlander, A., Park, I., & Ye, F. (2023). Poster: Quantifying Signal Quality Using Autoencoder for Robust RF-based Respiration Monitoring. In ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies. Retrieved from https://par.nsf.gov/biblio/10439763

Xie, Z., Nederlander, A., Park, I., & Ye, F. (2023). RF-Q: Unsupervised Signal Quality Assessment for Robust RF-based Respiration Monitoring. In ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies. Retrieved from https://par.nsf.gov/biblio/10439766

Elbadry, M., Liu, M., Hua, Y., Xie, Z., & Ye, F. (2023). Poster: Towards Robust, Extensible, and Scalable Home Sensing Data Collection. In ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies. Retrieved from https://par.nsf.gov/biblio/10439726

Xie, Z., & Ye, F. (2022). Self-Calibrating Indoor Trajectory Tracking System Using Distributed Monostatic Radars For Large Scale Deployment. In ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. http://doi.org/10.1145/3563357.3564078

Xie, Z., & Ye, F. (2022). Poster Abstract: Scaling Device-free Indoor Tracking based on Self Calibration. In ACM Conference on Embedded Networked Sensor Systems. Retrieved from https://par.nsf.gov/biblio/10439724