Situative Space Tracking within Smart Environments

Dipak Surie; Florian Jäckel; Lars-Erik Janlert; Thomas Pederson

doi:10.1109/IE.2010.35

Situative Space Tracking within Smart Environments

Dipak Surie, Florian Jäckel, Lars-Erik Janlert, Thomas Pederson

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

This paper describes our efforts in modeling and
tracking a human agent’s situation based on his/her possibilities
to perceive and act upon objects (both physical and virtual)
within smart environments. A Situative Space Model is proposed.
WLAN signal-strength-based situative space tracking system that
positions objects within individual situative spaces (without
tracking their absolute positions) distributed across multiple
modalities like vision, audio, and touch is presented. As a proofof-
concept, a preliminary evaluation of the tracking system was
performed by two subjects within a living-laboratory smart home
environment where a global precision of 83.4% and a global
recall of 88.6% were obtained.

Originalsprog	Engelsk
Titel	Proceedings of the 6th International Conference on Intelligent Environments
Antal sider	6
Forlag	IEEE Computer Society Press
Publikationsdato	19 jul. 2010
Sider	152-157
ISBN (Trykt)	978-0-7695-4149-5
ISBN (Elektronisk)	978-0-7695-4149-5
DOI	https://doi.org/10.1109/IE.2010.35
Status	Udgivet - 19 jul. 2010

Emneord

Situative Space Model
WLAN Signal Strength
Smart Environments
Human-Agent Tracking
Multi-Modal Sensing

Adgang til dokumentet

10.1109/IE.2010.35

Citationsformater

@inproceedings{79985107ae7a401887d31072d7bb448a,

title = "Situative Space Tracking within Smart Environments",

abstract = "This paper describes our efforts in modeling andtracking a human agent{\textquoteright}s situation based on his/her possibilitiesto perceive and act upon objects (both physical and virtual)within smart environments. A Situative Space Model is proposed.WLAN signal-strength-based situative space tracking system thatpositions objects within individual situative spaces (withouttracking their absolute positions) distributed across multiplemodalities like vision, audio, and touch is presented. As a proofof-concept, a preliminary evaluation of the tracking system wasperformed by two subjects within a living-laboratory smart homeenvironment where a global precision of 83.4% and a globalrecall of 88.6% were obtained.",

keywords = "Situative Space Model, WLAN Signal Strength, Smart Environments, Human-Agent Tracking, Multi-Modal Sensing, Situative Space Model, WLAN Signal Strength, Smart Environments, Human-Agent Tracking, Multi-Modal Sensing",

author = "Dipak Surie and Florian J{\"a}ckel and Lars-Erik Janlert and Thomas Pederson",

year = "2010",

month = jul,

day = "19",

doi = "10.1109/IE.2010.35",

language = "English",

isbn = "978-0-7695-4149-5",

pages = "152--157",

booktitle = "Proceedings of the 6th International Conference on Intelligent Environments",

publisher = "IEEE Computer Society Press",

address = "United States",

}

Situative Space Tracking within Smart Environments. / Surie, Dipak; Jäckel, Florian; Janlert, Lars-Erik et al.
Proceedings of the 6th International Conference on Intelligent Environments. IEEE Computer Society Press, 2010. s. 152-157.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Situative Space Tracking within Smart Environments

AU - Surie, Dipak

AU - Jäckel, Florian

AU - Janlert, Lars-Erik

AU - Pederson, Thomas

PY - 2010/7/19

Y1 - 2010/7/19

N2 - This paper describes our efforts in modeling andtracking a human agent’s situation based on his/her possibilitiesto perceive and act upon objects (both physical and virtual)within smart environments. A Situative Space Model is proposed.WLAN signal-strength-based situative space tracking system thatpositions objects within individual situative spaces (withouttracking their absolute positions) distributed across multiplemodalities like vision, audio, and touch is presented. As a proofof-concept, a preliminary evaluation of the tracking system wasperformed by two subjects within a living-laboratory smart homeenvironment where a global precision of 83.4% and a globalrecall of 88.6% were obtained.

AB - This paper describes our efforts in modeling andtracking a human agent’s situation based on his/her possibilitiesto perceive and act upon objects (both physical and virtual)within smart environments. A Situative Space Model is proposed.WLAN signal-strength-based situative space tracking system thatpositions objects within individual situative spaces (withouttracking their absolute positions) distributed across multiplemodalities like vision, audio, and touch is presented. As a proofof-concept, a preliminary evaluation of the tracking system wasperformed by two subjects within a living-laboratory smart homeenvironment where a global precision of 83.4% and a globalrecall of 88.6% were obtained.

KW - Situative Space Model

KW - WLAN Signal Strength

KW - Smart Environments

KW - Human-Agent Tracking

KW - Multi-Modal Sensing

KW - Situative Space Model

KW - WLAN Signal Strength

KW - Smart Environments

KW - Human-Agent Tracking

KW - Multi-Modal Sensing

U2 - 10.1109/IE.2010.35

DO - 10.1109/IE.2010.35

M3 - Article in proceedings

SN - 978-0-7695-4149-5

SP - 152

EP - 157

BT - Proceedings of the 6th International Conference on Intelligent Environments

PB - IEEE Computer Society Press

ER -

Situative Space Tracking within Smart Environments

Abstract

Emneord

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