ALARM-NET: Wireless Sensor Networks for Assisted-Living and Residential Monitoring
By Anthony D. Wood, G. Virone, T. Doan, Q. Cao, L. Selavo, Yafeng Wu, L. Fang, Z. He, Shan Lin, J. Stankovic. 2006
415 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/88bd9fd4666686744dc5c7326b587af02fcb3caa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Paolo Bonato
- Pardeep Kumar
- Bor-rong Chen
- Min Chen
- Matt Welsh
- Hoon-Jae Lee
- Huasong Cao
- Konrad Lorincz
Citations in the corpus
- Distributed recognition of human actions using wearable motion sensor networks (2009, unknown): “Such systems also have the necessary mobility to support persistent monitoring of a subject during her daily activities in both indoor and outdoor environments (e.g., ALARM-NET [31]).”
- Body Area Networks: A Survey (2010, methodology): “ALARM-NET [57] This system provides pervasive and adaptive healthcare for continuous monitoring using environmental and wearable sensors.”
- Mercury: a wearable sensor network platform for high-fidelity motion analysis (2009, background): “In recent years there has been increased interest in body sensor networks for wearable applications as diverse as elder care [12, 46], emergency response [28, 9], studying athletic performance [1, 32], gait analysis [38, 40, 44], and activity classification [18, 33].”
- Challenges and Research Directions in Medical Cyber–Physical Systems (2012, background): “Continuous care systems are being designed to monitor a plethora of ailments such as cardiovascular diseases [40], neurological problems [63], collecting meta-physiological state information (sleep, awake, fatigue) [56], circadian activity monitoring [68], and extreme environment medical monitoring ”
- A Survey on Ambient Intelligence in Health Care (2013, unknown): “For example, the ALARM–NET project [178] is an assisted living and residential monitoring network for pervasive healthcare developed at the University of Virginia (Blacksburg, VA, USA).”
- Security Issues in Healthcare Applications Using Wireless Medical Sensor Networks: A Survey (2011, methodology): “, ALARM-NET [13], MEDiSN [54]), which is not sufficient for such critical applications.”