Body sensor networks

By Guang-Zhong Yang. 2006

823 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8610d23b1f181868d73a480c2f857983f356f859

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In Biomedical Engineering

Citations in the corpus

Inertial Sensor-Based Gait Recognition: A Review (2015, background): “Furthermore, such conﬁguration is also applicable as a supplementary part of body area network [30].”
Elderly Fall Detection Systems: A Literature Survey (2020, background): “Yang and Yang (2006) and Tsinganos and Skodras (2018) grouped them into three categories, namely direct data fusion, feature fusion, and decision fusion.”
Transition-Aware Human Activity Recognition Using Smartphones (2016, neutral): “gyroscopes, magnetometers, temperature, and heart rate sensors) [17].”
A robust human activity recognition system using smartphone sensors and deep learning (2018, background): “The second one is in combination with other sensors such as gyroscopes, temperature, and heart rate sensors [24].”
Unobtrusive Sensing and Wearable Devices for Health Informatics (2014, background): “Related to networking, technical challenges include user mobility, network security, multiple sensor fusion, optimization of the network topology, and communication protocols for energy-efﬁcient transmission [69].”
From Wearable Sensors to Smart Implants-–Toward Pervasive and Personalized Healthcare (2015, background): “T he wearable systems supported by ambient sensing have the capab ility to continuously monitor human physiology and dysfunction enabling critical events such as myocardial infarct ion, arrhythmias and strokes to be captured and conseque ntly expediting treatments and saving lives [6].”
Antennas and Propagation for Body-Centric Wireless Communications (2012, background): “Body-worn equipment is also used for health monitoring [6].”
Comparison of energy harvesting systems for wireless sensor networks (2008, background): “Monitoring of the internal environmental conditions and adaptation of heating, lighting, etc. in response to human occupancy and activity is a major potential application for sensor networks, whether based on wireless communications or on wired connections.”