Good News! 3 of our workshop papers have been accepted in the top-tier IEEE PerCom 2024 conference, held in Biarritz, France!
Deepak Yeleshetty's paper describes a deep-learning method to predict turn maneuvers using bicycle-mounted motion sensors.
De Smit, G., Yeleshetty, D., Havinga, P.J.M., & Huang, Y. (2024). Predicting Turn Maneuvers of Cyclists Using Bicycle-Mounted IMU with CNN-LSTM. In Proceedings of the 22nd International Conference on Pervasive Computing and Communications (PerCom 2024). PERVEHICLE Workshop
Hamed Darbandi's paper uses non-invasive wearable sensors to estimate lactation for assessing fatigue in horses.
Darbandi, H., Havinga, P.J.M., & Munsters, C. (2024). Non-Invasive Lactate Estimation Using Wearable Sensors for Remote Fatigue Assessment in Horses. In Proceedings of the 22nd International Conference on Pervasive Computing and Communications (PerCom 2024). TELMED Workshop
Mario Boot's paper describes a method to measure and support simultaneous flow in duos of elder cyclists
Boot, M., Kahnt, L., Postma, D., Ulak, B., Geurs, K., & Havinga, P. (2024). Are We in Flow? Measuring and Supporting Simultaneous Flow in Duos of Elderly Cyclists. In Proceedings of the 22nd International Conference on Pervasive Computing and Communications (PerCom 2024). EMOTION AWARE Workshop
Congratulations to Deepak, Hamed and Mario!
