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IEEE Sensors_Sensor for real-time animal condition and movement monitoring.pdf
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Accepted Manuscript
Type
Conference PaperAuthors
Kaidarova, Altynay
Karimi, Muhammad Akram

Amara, Selma

Shamim, Atif

Geraldi, Nathan
Duarte, Carlos M.

Kosel, Jürgen

KAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Marine Science Program
Red Sea Research Center (RSRC)
Date
2019-01-18Online Publication Date
2019-01-18Print Publication Date
2018-10Permanent link to this record
http://hdl.handle.net/10754/631086
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Show full item recordAbstract
A flexible, lightweight and minimally intrusive monitoring system has been developed to assess animals' behavioral responses. The system consists of wearable composite magnets and magnetic sensors integrated into a miniaturized wireless communication module with a flexible battery. The shape and size of the NdFeB-PDMS composite magnets are highly versatile, while the magnetic and mechanical properties can be tailored within a wide range by the powder concentration. The magnetic field of the composite magnet is sensed by a 3-axial magnetic sensor, and the measured data is wirelessly transmitted using Bluetooth low energy communication standard to a smartphone and dashboard. To withstand corrosive environments and enhance the durability the composite magnets are coated with 2 μm of Parylene C, while surface passivation of the wireless module is achieved with 5 μm of Parylene C. The system has been implemented for real-time monitoring of crabs, giant turtles, and giant clams, indicating its potential for novel and affordable animal monitoring applications.Citation
Kaidarova A, Karimi MA, Amara S, Shamim A, Gerali NR, et al. (2018) Sensor for Real-Time Animal Condition and Movement Monitoring. 2018 IEEE SENSORS. Available: http://dx.doi.org/10.1109/ICSENS.2018.8589821.Sponsors
This research is a contribution to the CAASE project funded by King Abdullah University of Science and Technology (KAUST) under the KAUST Sensor Initiative. We thank the Oceanografic, Valencia, and their staff for invaluable help while conducting this research.Journal
2018 IEEE SENSORSConference/Event name
17th IEEE SENSORS Conference, SENSORS 2018Additional Links
https://ieeexplore.ieee.org/document/8589821ae974a485f413a2113503eed53cd6c53
10.1109/ICSENS.2018.8589821