Crowdsensing and proximity services for impaired mobility

Cortellazzi, Jacopo; Rolt, Carlos Roberto De; Corradi, Antonio; Neto, Carlos Augusto Alperstedt; Alperstedt, Graziela Dias

doi:10.1109/iscc.2016.7543712

Cited by 15 publications

(6 citation statements)

References 16 publications

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“…Cortellazzi Jacopo et al presented an extension of the general-purpose ParticipAct platform, an MCS application developed by the University of Bologna, focused on the needs of people with impaired mobility. The goal is to specialize ParticipAct to enable a crowd sensing platform that guarantees a solid support for their lifetime allowing for reviewing and sharing opinions regarding public and private places and architectonic barriers of a city area [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks

Jia

Zhou

et al. 2018

Sensors

113

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Crowd sensing is a perception mode that recruits mobile device users to complete tasks such as data collection and cloud computing. For the cloud computing platform, crowd sensing can not only enable users to collaborate to complete large-scale awareness tasks but also provide users for types, social attributes, and other information for the cloud platform. In order to improve the effectiveness of crowd sensing, many incentive mechanisms have been proposed. Common incentives are monetary reward, entertainment & gamification, social relation, and virtual credit. However, there are rare incentives based on privacy protection basically. In this paper, we proposed a mixed incentive mechanism which combined privacy protection and virtual credit called a blockchain-based location privacy protection incentive mechanism in crowd sensing networks. Its network structure can be divided into three parts which are intelligence crowd sensing networks, confusion mechanism, and blockchain. We conducted the experiments in the campus environment and the results shows that the incentive mechanism proposed in this paper has the efficacious effect in stimulating user participation.

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Section: Introductionmentioning

confidence: 99%

A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks

Jia

Zhou

et al. 2018

Sensors

113

View full text Add to dashboard Cite

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“…ParticipACT is a socio/technical-aware crowdsensing platform to investigate in a real-world scenario the social and technical issues of crowdsensing (Cardone et al, 2016b) and was successful integrated into several different contexts, both in Italy (specifically Bologna) and Brazil (in the State of Santa Catarina). Main contexts include urban traffic and urban mobility issues (Buosi et al, 2018), impaired mobility (Cortellazzi et al, 2016), smart cities management (Gomes et al, 2016) and even social network analysis (Gomes et al, 2018).…”

Section: Participactmentioning

confidence: 99%

Smart Management of Healthcare Professionals Involved in COVID-19 Contrast With SWAPS

Bellavista

Torello

Corradi

2021

Front. Sustain. Cities

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The recent COVID-19 pandemic in Italy has highlighted several critical issues in the management process of infected people. At the health level, the management of the COVID-19 positive was mainly delegated to the regional authorities and centrally monitored by the State. Despite requested common activities (such as diagnosis of virus positivity, active surveillance of infected people and contact tracing), Regional Health Departments were able to issue specific directives in their territories and establish priority levels for each activity according to the specific needs related to the emergency in their area. The development of novel digital tools for the management of infected people become an urgent necessity to foster more organized and integrated solutions, able to quickly process large amounts of data. Mobile Crowdsensing methodologies could effectively facilitate needed lateral interviewing activities as well as the monitoring of crowds in environments with a high concentration of virus-positive subjects (such are hospital wards but also other locations), facilitating the tracing of possible outbreaks of contagion due to advanced geolocation techniques and big data analysis methods. This paper analyzes the functionality of SWAPS (Supporting Workflows for Healthcare Personnel management), a modular and scalable web platform which facilitate and reduces the management time of COVID positive health personnel within healthcare facilities. It also analyzes the possible integrations between SWAPS and ParticipACT, an advanced MCS platform developed by the University of Bologna that can help set up the alert notification in case of entry into a COVID risk area. This article surveys the current literature on software platforms to address COVID-19 and related tracing issues and presents the practical issues and on-the-field results obtained from the research developed by the University of Bologna by assisting the deployment of the proposed solution for a big Regional Health Department in the city of Bologna.

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“…ParticipAct [10] is an application that displays a map of the city with points of interest and obstacles to mobility (e.g., stairs, scaffolding). An evaluation was performed but it was aimed at measuring memory and CPU usage in user devices.…”

Section: Related Workmentioning

confidence: 99%

Design of SmartMoving, an application for pedestrians with reduced mobility

Fatecha¹,

Fauvety²,

Aquino

et al. 2021

CLEIej

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The state of sidewalks in Asunción, Paraguay is far from being optimal. There are many problems such as obstructions, necessary repairs, lack of ramps, unevenness of surface, among others. In addition, the Municipality of Asunción does not have automated mechanisms to know the updated status of sidewalks. In this work we propose SmartMoving, a mobile application that collects information on the state of the sidewalks, with the help of citizens, and recommends pedestrian paths with fewer obstacles. The application can be especially useful for people with reduced mobility, as well as for the Municipality of Asunción. This type of application is based on citizen participation, since it receives data from them, and therefore requires a particularly friendly user experience, adapted to users and their daily context. Therefore, the need for a participatory and user-centered design, as a basis for the development of the application. Therefore, in this paper we present the SmartMoving application and the user-centered design process that has been followed for its development, involving users with reduced mobility.

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Crowdsensing and proximity services for impaired mobility

Cited by 15 publications

References 16 publications

A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks

A Blockchain-Based Location Privacy Protection Incentive Mechanism in Crowd Sensing Networks

Smart Management of Healthcare Professionals Involved in COVID-19 Contrast With SWAPS

Design of SmartMoving, an application for pedestrians with reduced mobility

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