Comprehensive deformed map generation for wristwatch-type wearable devices based on landmark-based partitioning

Keisuke Kono; Tomoyuki Nitta; Kazuaki Ishikawa; Masao Yanagisawa; Nozomu Togawa

doi:10.1109/GCCE.2016.7800432

Comprehensive deformed map generation for wristwatch-type wearable devices based on landmark-based partitioning

Keisuke Kono, Tomoyuki Nitta, Kazuaki Ishikawa, Masao Yanagisawa, Nozomu Togawa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Recently, wristwatch-type wearable devices are developed and geographic information services have become widely available on them. In this paper, we propose a comprehensive deformed map generation algorithm for wristwatch-type wearable devices. Our algorithm first normalizes a pedestrian route to 0°, 45°, or 90° so that the pedestrian can see the route not tilting the wristwatch-type wearable device on his/her wrist. Second, our algorithm partitions the normalized map so that several landmarks are overlapped in the partitioned sub-maps. Hence the sub-maps can be largely displayed on wristwatch-type wearable devices and the pedestrian can recognize his/her location even when the sub-maps displayed are changed. Experiments demonstrate the effectiveness of our deformed map generation algorithm on wristwatch-type wearable devices.

Original language	English
Title of host publication	2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509023332
DOIs	https://doi.org/10.1109/GCCE.2016.7800432
Publication status	Published - 2016 Dec 27
Event	5th IEEE Global Conference on Consumer Electronics, GCCE 2016 - Kyoto, Japan Duration: 2016 Oct 11 → 2016 Oct 14

Other

Other	5th IEEE Global Conference on Consumer Electronics, GCCE 2016
Country	Japan
City	Kyoto
Period	16/10/11 → 16/10/14

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Computer Science Applications
Hardware and Architecture
Instrumentation

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Comprehensive deformed map generation for wristwatch-type wearable devices based on landmark-based partitioning. / Kono, Keisuke; Nitta, Tomoyuki; Ishikawa, Kazuaki; Yanagisawa, Masao ; Togawa, Nozomu.

2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7800432.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kono, K, Nitta, T, Ishikawa, K, Yanagisawa, M & Togawa, N 2016, Comprehensive deformed map generation for wristwatch-type wearable devices based on landmark-based partitioning. in 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016., 7800432, Institute of Electrical and Electronics Engineers Inc., 5th IEEE Global Conference on Consumer Electronics, GCCE 2016, Kyoto, Japan, 16/10/11. https://doi.org/10.1109/GCCE.2016.7800432

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abstract = "Recently, wristwatch-type wearable devices are developed and geographic information services have become widely available on them. In this paper, we propose a comprehensive deformed map generation algorithm for wristwatch-type wearable devices. Our algorithm first normalizes a pedestrian route to 0°, 45°, or 90° so that the pedestrian can see the route not tilting the wristwatch-type wearable device on his/her wrist. Second, our algorithm partitions the normalized map so that several landmarks are overlapped in the partitioned sub-maps. Hence the sub-maps can be largely displayed on wristwatch-type wearable devices and the pedestrian can recognize his/her location even when the sub-maps displayed are changed. Experiments demonstrate the effectiveness of our deformed map generation algorithm on wristwatch-type wearable devices.",

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AB - Recently, wristwatch-type wearable devices are developed and geographic information services have become widely available on them. In this paper, we propose a comprehensive deformed map generation algorithm for wristwatch-type wearable devices. Our algorithm first normalizes a pedestrian route to 0°, 45°, or 90° so that the pedestrian can see the route not tilting the wristwatch-type wearable device on his/her wrist. Second, our algorithm partitions the normalized map so that several landmarks are overlapped in the partitioned sub-maps. Hence the sub-maps can be largely displayed on wristwatch-type wearable devices and the pedestrian can recognize his/her location even when the sub-maps displayed are changed. Experiments demonstrate the effectiveness of our deformed map generation algorithm on wristwatch-type wearable devices.

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Comprehensive deformed map generation for wristwatch-type wearable devices based on landmark-based partitioning

Abstract

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