User grouping method for ad-hoc conversations based on proximity of users and speaking volumes acquired from portable sensors

Yutaka Karatsu, Jin Nakazawa, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analyzing groups of people having a conversation enable to provide context-aware services, such as life log, group-wares, and the virtualization of social networks. We propose a novel method for extract chatting groups by leveraging Bluetooth RSSI and voice data acquired from smart phones. Neighboring people are detected from Bluetooth RSSI, and conversation groups are extract by talking states. The purpose of this paper is to define algorithm that works on efficiently on smart phones that are general and widespread mobile devices.

Original languageEnglish
Title of host publicationUbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing
Pages577-578
Number of pages2
DOIs
Publication statusPublished - 2011
Event13th International Conference on Ubiquitous Computing, UbiComp'11 and the Co-located Workshops - Beijing, China
Duration: 2011 Sep 172011 Sep 21

Other

Other13th International Conference on Ubiquitous Computing, UbiComp'11 and the Co-located Workshops
CountryChina
CityBeijing
Period11/9/1711/9/21

Fingerprint

Bluetooth
Sensors
Mobile devices
Virtualization

Keywords

  • ad-hoc conversation
  • context-aware service
  • smartphones
  • user grouping
  • wearable computing

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

Cite this

Karatsu, Y., Nakazawa, J., & Tokuda, H. (2011). User grouping method for ad-hoc conversations based on proximity of users and speaking volumes acquired from portable sensors. In UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing (pp. 577-578) https://doi.org/10.1145/2030112.2030221

User grouping method for ad-hoc conversations based on proximity of users and speaking volumes acquired from portable sensors. / Karatsu, Yutaka; Nakazawa, Jin; Tokuda, Hideyuki.

UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing. 2011. p. 577-578.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Karatsu, Y, Nakazawa, J & Tokuda, H 2011, User grouping method for ad-hoc conversations based on proximity of users and speaking volumes acquired from portable sensors. in UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing. pp. 577-578, 13th International Conference on Ubiquitous Computing, UbiComp'11 and the Co-located Workshops, Beijing, China, 11/9/17. https://doi.org/10.1145/2030112.2030221
Karatsu Y, Nakazawa J, Tokuda H. User grouping method for ad-hoc conversations based on proximity of users and speaking volumes acquired from portable sensors. In UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing. 2011. p. 577-578 https://doi.org/10.1145/2030112.2030221
Karatsu, Yutaka ; Nakazawa, Jin ; Tokuda, Hideyuki. / User grouping method for ad-hoc conversations based on proximity of users and speaking volumes acquired from portable sensors. UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing. 2011. pp. 577-578
@inproceedings{814a10c86d4d42c880387ac5db7857f9,
title = "User grouping method for ad-hoc conversations based on proximity of users and speaking volumes acquired from portable sensors",
abstract = "Analyzing groups of people having a conversation enable to provide context-aware services, such as life log, group-wares, and the virtualization of social networks. We propose a novel method for extract chatting groups by leveraging Bluetooth RSSI and voice data acquired from smart phones. Neighboring people are detected from Bluetooth RSSI, and conversation groups are extract by talking states. The purpose of this paper is to define algorithm that works on efficiently on smart phones that are general and widespread mobile devices.",
keywords = "ad-hoc conversation, context-aware service, smartphones, user grouping, wearable computing",
author = "Yutaka Karatsu and Jin Nakazawa and Hideyuki Tokuda",
year = "2011",
doi = "10.1145/2030112.2030221",
language = "English",
isbn = "9781450309103",
pages = "577--578",
booktitle = "UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing",

}

TY - GEN

T1 - User grouping method for ad-hoc conversations based on proximity of users and speaking volumes acquired from portable sensors

AU - Karatsu, Yutaka

AU - Nakazawa, Jin

AU - Tokuda, Hideyuki

PY - 2011

Y1 - 2011

N2 - Analyzing groups of people having a conversation enable to provide context-aware services, such as life log, group-wares, and the virtualization of social networks. We propose a novel method for extract chatting groups by leveraging Bluetooth RSSI and voice data acquired from smart phones. Neighboring people are detected from Bluetooth RSSI, and conversation groups are extract by talking states. The purpose of this paper is to define algorithm that works on efficiently on smart phones that are general and widespread mobile devices.

AB - Analyzing groups of people having a conversation enable to provide context-aware services, such as life log, group-wares, and the virtualization of social networks. We propose a novel method for extract chatting groups by leveraging Bluetooth RSSI and voice data acquired from smart phones. Neighboring people are detected from Bluetooth RSSI, and conversation groups are extract by talking states. The purpose of this paper is to define algorithm that works on efficiently on smart phones that are general and widespread mobile devices.

KW - ad-hoc conversation

KW - context-aware service

KW - smartphones

KW - user grouping

KW - wearable computing

UR - http://www.scopus.com/inward/record.url?scp=80054060524&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80054060524&partnerID=8YFLogxK

U2 - 10.1145/2030112.2030221

DO - 10.1145/2030112.2030221

M3 - Conference contribution

SN - 9781450309103

SP - 577

EP - 578

BT - UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing

ER -