TY - GEN
T1 - Using internet of vehicle technology for decreased medical response times
AU - Stevens, Mason
AU - Horne, Matt
AU - Yao, Yizhou
AU - Wang, Jiaqi
AU - Abdelgawad, Ahmed
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/10/18
Y1 - 2018/10/18
N2 - Internet of Things technology has great potential to be integrated into the automotive industry. Cheap electronics systems such as the Raspberry Pi can be used to communicate GPS information between emergency and pedestrian vehicles. This information can be used to instruct pedestrian vehicles to pull over preemptively, decreasing the response time of emergency vehicles. Further, emergency vehicles can take advantage of cloud computing to give hospitals vitals data from a patient, such as their heart rate, breathing rate, or temperature in order to achieve a quicker diagnosis. This paper displays a proof of concept for this idea and a small-scale test for accuracy and latency of this communication, as well as many of the challenges in designing a project of this nature. At the conclusion of this paper, the reader should have a basic understanding of the process of implementation and obstacles this technology faces in the future.
AB - Internet of Things technology has great potential to be integrated into the automotive industry. Cheap electronics systems such as the Raspberry Pi can be used to communicate GPS information between emergency and pedestrian vehicles. This information can be used to instruct pedestrian vehicles to pull over preemptively, decreasing the response time of emergency vehicles. Further, emergency vehicles can take advantage of cloud computing to give hospitals vitals data from a patient, such as their heart rate, breathing rate, or temperature in order to achieve a quicker diagnosis. This paper displays a proof of concept for this idea and a small-scale test for accuracy and latency of this communication, as well as many of the challenges in designing a project of this nature. At the conclusion of this paper, the reader should have a basic understanding of the process of implementation and obstacles this technology faces in the future.
KW - Ambulance
KW - Automation
KW - EHealth Sensor Kit
KW - Internet of Things
KW - Internet of Vehicles
KW - Real-Time Video Streaming
KW - ThingSpeak
UR - http://www.scopus.com/inward/record.url?scp=85058665692&partnerID=8YFLogxK
U2 - 10.1145/3289100.3289105
DO - 10.1145/3289100.3289105
M3 - Conference contribution
AN - SCOPUS:85058665692
T3 - ACM International Conference Proceeding Series
SP - 27
EP - 32
BT - 2nd International Conference on Smart Digital Environment, ICSDE 2018 - Proceedings
A2 - El Bouanani, Faissal
PB - Association for Computing Machinery
T2 - 2nd International Conference on Smart Digital Environment, ICSDE 2018
Y2 - 18 October 2018 through 20 October 2018
ER -