TY - GEN
T1 - Enabling real-Time internet-of-people '4D' mobile applications
AU - Lee, Junghyo
AU - Sadeghi, Koosha
AU - Sohankar, Javad
AU - Banerjee, Ayan
AU - Gupta, Sandeep
N1 - Funding Information:
∗This work has been partly funded by CNS grant #1218505, IIS grant #1116385, and NIH grant #EB019202.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/6/26
Y1 - 2018/6/26
N2 - '4D' mobile applications have four significant features: A) information assimilation and visualization, b) personal customization based on physiology, c) customization based on information available in a networked community, and d) physical or psychological feedback. It can be implemented by the commercial wearable and apps with converting mobiles into data collection hubs. In this paper, we consider wearable carrying by various people as a networked cluster of computing power and information source. A developer can write a custom app to perform computation on this data and gain group level aggregate inferences and provide feedback. However, significant challenges exist with respect to security of data, safety of the device as well as the human user under physical feedback, and overall energy efficiency of the wearable. In this regard, we present an Internet-of-People (IoP) framework for developing '4D' mobile apps. IoP uses a high level specification and an automated code generator. We also show the IoP usage to develop one '4D' mobile app, Driver Assistant System (DAS) which avoids emergency situations by monitoring driver's physiological condition and car parameters, and issuing real-Time feedbacks such as alarms.
AB - '4D' mobile applications have four significant features: A) information assimilation and visualization, b) personal customization based on physiology, c) customization based on information available in a networked community, and d) physical or psychological feedback. It can be implemented by the commercial wearable and apps with converting mobiles into data collection hubs. In this paper, we consider wearable carrying by various people as a networked cluster of computing power and information source. A developer can write a custom app to perform computation on this data and gain group level aggregate inferences and provide feedback. However, significant challenges exist with respect to security of data, safety of the device as well as the human user under physical feedback, and overall energy efficiency of the wearable. In this regard, we present an Internet-of-People (IoP) framework for developing '4D' mobile apps. IoP uses a high level specification and an automated code generator. We also show the IoP usage to develop one '4D' mobile app, Driver Assistant System (DAS) which avoids emergency situations by monitoring driver's physiological condition and car parameters, and issuing real-Time feedbacks such as alarms.
KW - Internet-of-People
KW - pervasive systems
KW - wearables
UR - http://www.scopus.com/inward/record.url?scp=85050251186&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050251186&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC.2017.8397596
DO - 10.1109/UIC-ATC.2017.8397596
M3 - Conference contribution
AN - SCOPUS:85050251186
T3 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
SP - 1
EP - 6
BT - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Y2 - 4 April 2017 through 8 April 2017
ER -