An IoT-LoRa System for Tracking a Patient with a Mental Disorder: Correlation between Battery Capacity and Speed of Movement
暂无分享,去创建一个
Nur Hayati | Muhammad Suryanegara | Aswin Tresna Nugraha | Rianto Wibowo | M. Suryanegara | Nur Hayati | A. Nugraha | R. Wibowo
[1] Qiang Wang,et al. Energy efficient GPS sensing with cloud offloading , 2012, SenSys '12.
[2] Vermesan Ovidiu,et al. Internet of Things Strategic Research and Innovation Agenda , 2014 .
[3] Muhammad Suryanegara,et al. The experimental trial of LoRa system for tracking and monitoring patient with mental disorder , 2018, 2018 International Conference on Signals and Systems (ICSigSys).
[4] Ahcène Bounceur,et al. A study of LoRa low power and wide area network technology , 2017, 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).
[5] Nur Hayati,et al. The IoT LoRa system design for tracking and monitoring patient with mental disorder , 2017, 2017 IEEE International Conference on Communication, Networks and Satellite (Comnetsat).
[6] Yao-Jen Chang,et al. Video Prompting and Indoor Wayfinding Based on Bluetooth Beacons: A Case Study in Supported Employment for People with Severe Mental Illness , 2009, 2009 WRI International Conference on Communications and Mobile Computing.
[7] Konstantin Mikhaylov,et al. On the coverage of LPWANs: range evaluation and channel attenuation model for LoRa technology , 2015, 2015 14th International Conference on ITS Telecommunications (ITST).