| Title |
Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies |
| ID_Doc |
40037 |
| Authors |
Panchanathan, S; Chakraborty, S; McDaniel, T; Tadayon, R; Fakhri, B; O'Connor, NE; Marsden, M; Little, S; McGuinness, K; Monaghan, D |
| Title |
Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies |
| Year |
2017 |
| Published |
International Journal Of Semantic Computing, 11, 2 |
| DOI |
10.1142/S1793351X17400062 |
| Abstract |
Rapid urbanization has brought about an influx of people to cities, tipping the scale between urban and rural living. Population predictions estimate that 64% of the global population will reside in cities by 2050. To meet the growing resource needs, improve management, reduce complexities, and eliminate unnecessary costs while enhancing the quality of life of citizens, cities are increasingly exploring open innovation frameworks and smart city initiatives that target priority areas including transportation, sustainability, and security. The size and heterogeneity of urban centers impede progress of technological innovations for smart cities. We propose a Smart Stadium as a living laboratory to balance both size and heterogeneity so that smart city solutions and Internet of Things (IoT) technologies may be deployed and tested within an environment small enough to practically trial but large and diverse enough to evaluate scalability and efficacy. The Smart Stadium for Smart Living initiative brings together multiple institutions and partners including Arizona State University (ASU), Dublin City University (DCU), Intel Corporation, and Gaelic Athletic Association (GAA), to turn ASU's Sun Devil Stadium and Ireland's Croke Park Stadium into twinned smart stadia to investigate IoT and smart city technologies and applications. |
| Author Keywords |
Internet of Things; smart stadium; smart city; crowd behavior analytics; object counting |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000404346900002 |
| WoS Category |
Computer Science, Artificial Intelligence |
| Research Area |
Computer Science |
| PDF |
https://doras.dcu.ie/21873/2/00275.pdf
|