Context-aware wireless sensor networks for assisted living and residential monitoring
By Anthony D. Wood, J. Stankovic, G. Virone, L. Selavo, Zhimin He, Q. Cao, T. Doan, Yafeng Wu, L. Fang, R. Stoleru. IEEE Network, 2008
450 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/8315bfe0dc49389c24a6e59c392a31ac109879c4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- J. Stankovic
- Matt Welsh
- Chenyang Lu
- Xing Chen
- Francisco Flórez-Revuelta
- Mani B. Srivastava
- Andreas F. Terzis
- Yuehong Yin
In Computer Vision and Pattern Recognition
- Subhas Chandra Mukhopadhyay
- Nagender Kumar Suryadevara
- Pau Climent-Pérez
- Francisco Flórez-Revuelta
- Mani B. Srivastava
- Andreas F. Terzis
- Chenyang Lu
- J. Stankovic
Citations in the corpus
- A review of wearable sensors and systems with application in rehabilitation (2012, background): “The whole project deals not only with wearable sensing technology but also with security/privacy issues in patient’s data transfer, and real-time data streaming [92].”
- A Survey on Ambient Intelligence in Health Care (2013, unknown): “The ALARM–NET network creates a continuous medical history while preserving resident comfort and privacy by using unobtrusive ambient sensors combined with wearable interactive devices [178], [179].”
- Wireless Sensor Network Based Home Monitoring System for Wellness Determination of Elderly (2012, background): “There are a number of projects available on wearable health devices [4, 5] personal wellness monitoring and safety [6] integrated with sensors to provide continuous monitoring of person’s health related issues and activity monitoring.”
- Wireless sensor networks for healthcare: A survey (2010, unknown): “AlarmNet [84] is a wireless medical sensor network system prototype composed of five components.”
- Research Directions for the Internet of Things (2014, background): “Assume that we integrate several systems responsible for energy management (controlling thermostats [17], windows, doors, and shades) and home health care (controlling lights, TVs, body nodesmeasuring heart rate and temperature, and sleep apnea machines [33]).”
- The internet of things in healthcare: An overview (2016, background): “AlarmNet [77] is a prototype of wireless medical sensor network.”
- A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living (2012, background): “On top of the OSGi service-oriented framework, OpenAAL provides generic platform services based on three main components: 1) the Context Manager, where ambient data and information from sensors and user inputs are collected and stored supporting context reasoning at multiple levels of abstraction (f”
- The BikeNet mobile sensing system for cyclist experience mapping (2007, unknown): “2007], health [Wood et al. 2008], and fitness metrics [Nike+iPod Sports Kit 2007].”
- Wireless Sensor Networks for Healthcare (2010, methodology): “A typical home healthcare system based on WSN is AlarmNet [75], [76], an assisted-living and residential monitoring network for pervasive, adaptive healthcare.”
- City Data Fusion: Sensor Data Fusion in the Internet of Things (2015, unknown): “7 Zafeiropoulos et al. [81] M × H L M × C 1 ./ ./ 2008 Sheth et al. ×[62] ×A H L M C 2 ./ × 2008 Bruckner et al. [9] A ./ L × M × D 1 ./ × 2008 Huang et al. [29] M ./ H M ×M × C 1 ./ 2008 Wood et al. [78] ×A ./ L M ×L D 1 ./ 2008 Homed et al. [28] A ./ L M H ./ D 1 ./ ./ 2008 Ni et al. [53] ×A ×./ H”