Abstract
Our objective is to achieve a city where everyone can move safely and comfortably by developing and implementing ICT-based mobile support system at the actual transport hub. Our system uses cameras installed at the transport hub to detect people who have difficulty moving, and notifies this information to the transportation staff in real time to help them move more smoothly. This system makes it possible to aggregate and provide information on places that is useful for COVID-19 measures, such as measuring the congestion of places and the social distances of the people who gather there.
| Original language | English |
|---|---|
| Title of host publication | SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 788-789 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450375900 |
| DOIs | |
| Publication status | Published - Nov 16 2020 |
| Event | 18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020 - Virtual, Online, Japan Duration: Nov 16 2020 → Nov 19 2020 |
Publication series
| Name | SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems |
|---|
Conference
| Conference | 18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020 |
|---|---|
| Country/Territory | Japan |
| City | Virtual, Online |
| Period | 11/16/20 → 11/19/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Computer Networks and Communications
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