Indoor Emergency Evacuation Service on Autonomous Navigation System using Mobile Phone

Inoue, Yutaka; Sashima, Akio; Ikeda, Takeshi; Kurumatani, Koichi

doi:10.1109/isuc.2008.49

Cited by 73 publications

(36 citation statements)

References 6 publications

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“…Current major applications of route recommendation targeting pedestrians are evacuation guidance [10], [26] and traveling support [16], [19], [31]. Regarding evacuation, Inoue et al have proposed a system for indoor evacuation using mobile devices [10].…”

Section: Route Recommendation For Pedestriansmentioning

confidence: 99%

“…Regarding evacuation, Inoue et al have proposed a system for indoor evacuation using mobile devices [10]. For traveling support, location information such as GPS (Global Positioning System) log [31] and geotag information [16], [19] is the most important resource to find famous spots and typical routes for sightseeing.…”

Section: Route Recommendation For Pedestriansmentioning

confidence: 99%

See 1 more Smart Citation

Walking Route Recommender for Supporting a Walk as Health Promotion

Takama

Sasaki

Okumura

et al. 2017

IEICE Trans. Inf. & Syst.

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SUMMARYThis paper proposes a walking route recommender system aiming at continuously supporting a user to take a walk as means for health promotion. In recent years, taking a walk becomes popular with not only the elderly, but also those from all ages as one of the easiest ways for health promotion. From the viewpoint of health promotion, it is desirable to take a walk as daily exercise. However, walking is very simple activity, which makes it difficult for people to maintain their motivation. Although using an activity monitor is expected to improve the motivation for taking a walk as daily exercise, it forces users to manage their activities by themselves. The proposed system solves such a problem by recommending a walking route that can consume target calories. When a system is to be used for long period of time for supporting user's daily exercise, it should consider the case when a user will not follow the recommended route. It would cause a gap between consumed and target calories. We think this problem becomes serious when a user gradually gets bored with taking a walk during a long period of time. In order to solve the problem, the proposed method implicitly manages calories on monthly basis and recommends walking routes that could keep a user from getting bored. The effectiveness of the recommendation algorithm is evaluated with agent simulation. As another important factor for walking support, this paper also proposes a navigation interface that presents direction to the next visiting point without using a map. As users do not have to continuously focus on the interface, it is not only useful for their safety, but also gives them room to enjoy the landscape. The interface is evaluated by an experiment with test participants.

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Section: Route Recommendation For Pedestriansmentioning

confidence: 99%

Section: Route Recommendation For Pedestriansmentioning

confidence: 99%

Walking Route Recommender for Supporting a Walk as Health Promotion

Takama

Sasaki

Okumura

et al. 2017

IEICE Trans. Inf. & Syst.

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“…Isikdag et al (2013) and Lin et al (2013) introduce the use of BIM for integrating semantic information of building components along with the geometric information to map the building into a planar grid and shortest path algorithms are used for path finding. Real time information like congestion detectors can be used to increase routing awareness inside structures (Chen et al, 2011;Inoue et al, 2008). Projects like FireGrid are also focusing on next-generation emergency response systems by gathering realtime data from intelligent buildings (Berry et al, 2005;Han et al, 2010).…”

Section: Search and Rescue In Complex Indoor Environmentsmentioning

confidence: 99%

Facilitating the 3d Indoor Search and Rescue Problem: An Overview of the Problem and an Ant Colony Solution Approach

Tashakkori¹,

Rajabifard²,

Kalantari³

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Search and rescue procedures for indoor environments are quite complicated due to the fact that much of the indoor information is unavailable to rescuers before physical entrance to the incident scene. Thus, decision making regarding the number of crew required and the way they should be dispatched in the building considering the various access points and complexities in the buildings in order to cover the search area in minimum time is dependent on prior knowledge and experience of the emergency commanders. Hence, this paper introduces the Search and Rescue Problem (SRP) which aims at finding best search and rescue routes that minimize the overall search time in the buildings. 3D BIM-oriented indoor GIS is integrated in the indoor route graph to find accurate routes based on the building geometric and semantic information. An Ant Colony Based Algorithm is presented that finds the number of first responders required and their individual routes to search all rooms and points of interest inside the building to minimize the overall time spent by all rescuers inside the disaster area. The evaluation of the proposed model for a case study building shows a significant improve in search and rescue time which will lead to a higher chance of saving lives and less exposure of emergency crew to danger.

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“…La mayoría de las propuestas se basan en transmisores de señales de radio, o en redes de sensores [15][16][17][18] . En donde las rutas de evacuación se dan de acuerdo con caminos preinstalados.…”

Section: Aplicaciones Rfid En Dispositivos Móvilesunclassified

Yanapay : Sistema De Evacuación Basado en Tecnología Rfid Y Dispositivos Android

Ludeña-González

Rohoden

Palacios

et al. 2016

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Recibido: 12-11-2015, aprobado tras revisión: 20-11-2015. Forma sugerida de citación: Ludeña, P.; Rohoden, K.; Palacios, C.; Rohoden, M. (2015). "Yanapay: sistema de evacuación basado en tecnología RFID y dispositivos Android". Ingenius. N.• 14, (Julio-Diciembre). pp. 5-13. ISSN: 1390-650X. Resumen AbstractEstudios recientes sobre el uso de herramientas tecnológicas en situaciones de emergencia determinan que éstas contribuyen notoriamente al éxito de los planes de evacuación; por ello en los últimos años se han propuesto diferentes iniciativas, principalmente en cuanto a solventar la disponibilidad de información de rutas de escape y estados de alerta. Yanapay es un sistema de evacuación desarrollado para dispositivos móviles Android que brinda asistencia personalizada en situaciones de emergencia. La aplicación móvil indica al usuario su ubicación dentro del edificio y la ruta más corta y segura de evacuación. El usuario dispone de dos mecanismos de información, primero las rutas de evacuación calculadas se visualizan sobre planos 2D; y segundo, el sistema envía mensajes de alerta de sitios peligrosos. Los usuarios se monitorean usando tecnología RFID en pasillos, escaleras y salidas de emergencia y acoplando un módulo de lectura RFID al dispositivo móvil. Periódicamente se actualizan las rutas a través de sensores en pasillos y oficinas, que se conectan a un servidor, por medio de un módulo de adquisición, para que éste, inalám-bricamente actualice los datos del dispositivo móvil. Yanapay se validó a través de metodologías de pruebas internacionales para cada uno de sus componentes.Recent studies show that the use of technological tools in emergency situations contribute significantly to the success of the evacuation plans; because of this, in the last years different initiatives have been proposed, mainly in terms of solving the availability of information on escape routes and alertness. Yanapay is an evacuation system, developed for mobile devices (Android), which provides personalized assistance in emergencies. The mobile application shows to the user its location into the building and the shortest and safest evacuation route. The user has two information mechanisms, firstly the calculated evacuation routes are shown over the 2D planes; and second, the system sends alert messages of the dangerous sites. Users are monitored using RFID technology in corridors, stairs and emergency exits, and by coupling an RFID lecture module to the mobile device. The routes are updated periodically through sensors in corridors and offices, and they will connect to a server using an acquisition module, which will wirelessly update the mobile device data. Yanapay was validated through methodologies of international tests for each one of their components.

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Indoor Emergency Evacuation Service on Autonomous Navigation System using Mobile Phone

Cited by 73 publications

References 6 publications

Walking Route Recommender for Supporting a Walk as Health Promotion

Walking Route Recommender for Supporting a Walk as Health Promotion

Facilitating the 3d Indoor Search and Rescue Problem: An Overview of the Problem and an Ant Colony Solution Approach

Yanapay : Sistema De Evacuación Basado en Tecnología Rfid Y Dispositivos Android

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