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Title: Analysis of Multimodal Wearable Sensor Data to Characterize Social Groups and Influence in Organizations

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
Intelligence Advanced Research Projects Activity (IARPA)
OSTI Identifier:
1570596
Report Number(s):
LA-UR-19-30247
DOE Contract Number:  
89233218CNA000001
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Boero, Riccardo, Hraber, Peter Thomas, Kaufeld, Kimberly Ann, Moore, Elisabeth Ann, Romero-Severson, Ethan, Ambrosiano, John Joseph, Whitton, John Leslie, and Sims, Benjamin Hayden. Analysis of Multimodal Wearable Sensor Data to Characterize Social Groups and Influence in Organizations. United States: N. p., 2019. Web. doi:10.2172/1570596.
Boero, Riccardo, Hraber, Peter Thomas, Kaufeld, Kimberly Ann, Moore, Elisabeth Ann, Romero-Severson, Ethan, Ambrosiano, John Joseph, Whitton, John Leslie, & Sims, Benjamin Hayden. Analysis of Multimodal Wearable Sensor Data to Characterize Social Groups and Influence in Organizations. United States. doi:10.2172/1570596.
Boero, Riccardo, Hraber, Peter Thomas, Kaufeld, Kimberly Ann, Moore, Elisabeth Ann, Romero-Severson, Ethan, Ambrosiano, John Joseph, Whitton, John Leslie, and Sims, Benjamin Hayden. Wed . "Analysis of Multimodal Wearable Sensor Data to Characterize Social Groups and Influence in Organizations". United States. doi:10.2172/1570596. https://www.osti.gov/servlets/purl/1570596.
@article{osti_1570596,
title = {Analysis of Multimodal Wearable Sensor Data to Characterize Social Groups and Influence in Organizations},
author = {Boero, Riccardo and Hraber, Peter Thomas and Kaufeld, Kimberly Ann and Moore, Elisabeth Ann and Romero-Severson, Ethan and Ambrosiano, John Joseph and Whitton, John Leslie and Sims, Benjamin Hayden},
abstractNote = {},
doi = {10.2172/1570596},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {10}
}

Technical Report:

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