TY - JOUR
T1 - A Wireless Wearable Ecosystem for Social Network Analysis in Free-Living Animals
AU - Gaidica, Matt
AU - Zhang, Mengxiao
AU - Dantzer, Ben
N1 - Publisher Copyright:
© 2024 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
PY - 2024/7/1
Y1 - 2024/7/1
N2 - —Studying animal social systems requires understanding variations in contact and interaction, influenced by factors, such as environmental conditions, resource availability, and predation risk. Traditional observational methods have limitations, but advancements in sensor technologies and data analytics provide new opportunities. We developed a wireless wearable sensor system, “Juxta,” with features, such as modular battery packs and a smartphone app for data collection. A pilot study on free-living prairie voles (Microtus ochrogaster), a species with complex social behavior, demonstrated Juxta’s potential for studying social networks and behavior. We propose a framework for merging temporal, spatial, and event-driven data, which can help explore complex social dynamics across species and environments.
AB - —Studying animal social systems requires understanding variations in contact and interaction, influenced by factors, such as environmental conditions, resource availability, and predation risk. Traditional observational methods have limitations, but advancements in sensor technologies and data analytics provide new opportunities. We developed a wireless wearable sensor system, “Juxta,” with features, such as modular battery packs and a smartphone app for data collection. A pilot study on free-living prairie voles (Microtus ochrogaster), a species with complex social behavior, demonstrated Juxta’s potential for studying social networks and behavior. We propose a framework for merging temporal, spatial, and event-driven data, which can help explore complex social dynamics across species and environments.
KW - Sensor applications
KW - behavioral tracking
KW - contact tracing
KW - neuroethology
KW - social networks
KW - wireless sensors
UR - http://www.scopus.com/inward/record.url?scp=85194855774&partnerID=8YFLogxK
U2 - 10.1109/LSENS.2024.3406328
DO - 10.1109/LSENS.2024.3406328
M3 - Article
AN - SCOPUS:85194855774
SN - 2475-1472
VL - 8
SP - 1
EP - 4
JO - IEEE Sensors Letters
JF - IEEE Sensors Letters
IS - 7
ER -