research-article

Mobile application for elderly assistance in public transport

Authors:

José Á. Concepción-Sánchez,

Pino Caballero-Gil,

Jonay Suárez-Armas,

Néstor Álvarez-DíazAuthors Info & Claims

IML '17: Proceedings of the 1st International Conference on Internet of Things and Machine Learning

Article No.: 9, Pages 1 - 7

https://doi.org/10.1145/3109761.3158387

Published: 17 October 2017 Publication History

Abstract

By improving the mobility of elderly people, an improvement in their independence, quality of life and active participation in society is achieved. For them, the public transport service becomes the most important way to move from one place to another. However, using this type of transport can be difficult and confusing, even for people with normal cognitive and sensory abilities. In this way, this work describes the idea and the operation of a system composed of a mobile application and a server that will allow guiding these people through the means of transport in a simpler way. To do this, among other features, the mobile application makes use of a beacons-based localisation system using Bluetooth Low Energy instance of GPS and integrates a recommendation system based on fuzzy logic, while the server is responsible for calculating the optimal route for the journeys that users want to do.

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Cited By

Alnanih RBalabid ABahmdean L(2024)Senior-centered design for mobile medication adherence applications based on cognitive and technology attributesUniversal Access in the Information Society10.1007/s10209-023-00979-y23:2(871-888)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s10209-023-00979-y
Strenitzerova MStalmachova K(2021)Customer requirements for urban public transport mobile applicationTransportation Research Procedia10.1016/j.trpro.2021.06.01055(95-102)Online publication date: 2021
https://doi.org/10.1016/j.trpro.2021.06.010

Index Terms

Mobile application for elderly assistance in public transport

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cover image ACM Other conferences

IML '17: Proceedings of the 1st International Conference on Internet of Things and Machine Learning

October 2017

581 pages

ISBN:9781450352437

DOI:10.1145/3109761

General Chairs:
Hani Hamdan
University of Paris-Saclay, Paris, France
,
Djallel Eddine Boubiche
University of Batna, Algeria
,
Program Chair:
Fanny Klett
German Workforce ADL Partnership Laboratory, Germany

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 17 October 2017

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IML 2017

IML 2017: International Conference on Internet of Things and Machine Learning

October 17 - 18, 2017

Liverpool, United Kingdom

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Cited By

Alnanih RBalabid ABahmdean L(2024)Senior-centered design for mobile medication adherence applications based on cognitive and technology attributesUniversal Access in the Information Society10.1007/s10209-023-00979-y23:2(871-888)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s10209-023-00979-y
Strenitzerova MStalmachova K(2021)Customer requirements for urban public transport mobile applicationTransportation Research Procedia10.1016/j.trpro.2021.06.01055(95-102)Online publication date: 2021
https://doi.org/10.1016/j.trpro.2021.06.010

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