Mercury: a wearable sensor network platform for high-fidelity motion analysis

By Konrad Lorincz, Bor-rong Chen, G. Challen, A. Chowdhury, Shyamal Patel, Paolo Bonato, Matt Welsh. ACM International Conference on Embedded Networked Sensor Systems, 2009

342 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/5a0b331fe875c60fd3adea0112296d9f72f40faa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Mani B. Srivastava

In Computer Networks and Communications

1. J. Stankovic
2. Matt Welsh
3. Chenyang Lu
4. Mani B. Srivastava
5. Andreas F. Terzis
6. Tian He
7. Bhaskar Krishnamachari
8. Sajal K. Das

In Computer Vision and Pattern Recognition

1. Mani B. Srivastava
2. Andreas F. Terzis
3. Chenyang Lu
4. J. Stankovic
5. Matt Welsh

Citations in the corpus

• Wearable Sensors and Systems (2010, neutral): “[17] has been followed by extensive work toward the development of strategies aimed at optimizing the scarce resources available on the nodes of body sensor networks [18].”
• Wireless Sensor Networks for Healthcare (2010, methodology): “While triage protocols for disaster response already exist (e.g., [31] and [70]), multiple studies have found that they can be ineffectual in terms of accuracy and the time to transport as the number of victims increases in multicasualty incidents [5], [65].”
• Fusion of Smartphone Motion Sensors for Physical Activity Recognition (2014, neutral): “In [19], the combination is used for the motion monitoring of patients with disorders, such as Parkinsons Disease, epilepsy and stroke [14].”