Abstract
This paper proposes a landmark-based route recommendation method for enjoyable walking atmosphere strategies by accumulating and analyzing geographical information. We utilize landmark categorization and region clustering to obtain effective elements. Experimental results demonstrate that our proposed method improves walking environment quality and confirm that it is applicable in both urban and rural areas.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 672-673 |
| Number of pages | 2 |
| ISBN (Print) | 9781479987511 |
| DOIs | |
| Publication status | Published - 2016 Feb 3 |
| Event | 4th IEEE Global Conference on Consumer Electronics, GCCE 2015 - Osaka, Japan Duration: 2015 Oct 27 → 2015 Oct 30 |
Other
| Other | 4th IEEE Global Conference on Consumer Electronics, GCCE 2015 |
|---|---|
| Country | Japan |
| City | Osaka |
| Period | 15/10/27 → 15/10/30 |
Fingerprint
Keywords
- landmark categorization
- pedestrian
- region clustering
- walking route strategy
ASJC Scopus subject areas
- Instrumentation
- Biotechnology
- Computer Networks and Communications
- Signal Processing
- Electrical and Electronic Engineering
Cite this
A landmark-based route recommendation method for pedestrian walking strategies. / Bao, Siya; Nitta, Tomoyuki; Shindou, Daisuke; Yanagisawa, Masao; Togawa, Nozomu.
2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 672-673 7398511.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A landmark-based route recommendation method for pedestrian walking strategies
AU - Bao, Siya
AU - Nitta, Tomoyuki
AU - Shindou, Daisuke
AU - Yanagisawa, Masao
AU - Togawa, Nozomu
PY - 2016/2/3
Y1 - 2016/2/3
N2 - This paper proposes a landmark-based route recommendation method for enjoyable walking atmosphere strategies by accumulating and analyzing geographical information. We utilize landmark categorization and region clustering to obtain effective elements. Experimental results demonstrate that our proposed method improves walking environment quality and confirm that it is applicable in both urban and rural areas.
AB - This paper proposes a landmark-based route recommendation method for enjoyable walking atmosphere strategies by accumulating and analyzing geographical information. We utilize landmark categorization and region clustering to obtain effective elements. Experimental results demonstrate that our proposed method improves walking environment quality and confirm that it is applicable in both urban and rural areas.
KW - landmark categorization
KW - pedestrian
KW - region clustering
KW - walking route strategy
UR - http://www.scopus.com/inward/record.url?scp=84964941532&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964941532&partnerID=8YFLogxK
U2 - 10.1109/GCCE.2015.7398511
DO - 10.1109/GCCE.2015.7398511
M3 - Conference contribution
AN - SCOPUS:84964941532
SN - 9781479987511
SP - 672
EP - 673
BT - 2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -