Examinando por Autor "Sergi, Ilaria"

Mostrando 1 - 3 de 3
  • Miniatura
    Ítem
    Behavior modeling for a beacon-based indoor location system
    (MDPI AG, 2021-07-15) Bilbao Jayo, Aritz; Almeida, Aitor ; Sergi, Ilaria; Montanaro, Teodoro; Fasano, Luca; Emaldi, Mikel ; Patrono, Luigi
    In this work we performed a comparison between two different approaches to track a person in indoor environments using a locating system based on BLE technology with a smartphone and a smartwatch as monitoring devices. To do so, we provide the system architecture we designed and describe how the different elements of the proposed system interact with each other. Moreover, we have evaluated the system’s performance by computing the mean percentage error in the detection of the indoor position. Finally, we present a novel location prediction system based on neural embeddings, and a soft-attention mechanism, which is able to predict user’s next location with 67% accuracy.
  • Miniatura
    Ítem
    An IoT-aware approach for elderly-friendly cities
    (Institute of Electrical and Electronics Engineers Inc., 2018-03-12) Mulero, Rubén; Almeida, Aitor; Azkune Galparsoro, Gorka; Abril Jiménez, Patricia; Arredondo Waldmeyer, María Teresa; Páramo Castrillo, Miguel; Patrono, Luigi; Rametta, Piercosimo; Sergi, Ilaria
    The ever-growing life expectancy of people requires the adoption of proper solutions for addressing the particular needs of elderly people in a sustainable way, both from service provision and economic point of view. Mild cognitive impairments and frailty are typical examples of elderly conditions which, if not timely addressed, can turn out into more complex diseases that are harder and costlier to treat. Information and communication technologies, and in particular Internet of Things technologies, can foster the creation of monitoring and intervention systems, both on an ambient-assisted living and smart city scope, for early detecting behavioral changes in elderly people. This allows to timely detect any potential risky situation and properly intervene, with benefits in terms of treatment's costs. In this context, as part of the H2020-funded City4Age project, this paper presents the data capturing and data management layers of the whole City4Age platform. In particular, this paper deals with an unobtrusive data gathering system implementation to collect data about daily activities of elderly people, and with the implementation of the related linked open data (LOD)-based data management system. The collected data are then used by other layers of the platform to perform risk detection algorithms and generate the proper customized interventions. Through the validation of some use-cases, it is demonstrated how this scalable approach, also characterized by unobtrusive and low-cost sensing technologies, can produce data with a high level of abstraction useful to define a risk profile of each elderly person.
  • Miniatura
    Ítem
    Location based indoor and outdoor lightweight activity recognition system
    (MDPI, 2022-01-25) Bilbao Jayo, Aritz ; Cantero López, Xabier; Almeida, Aitor ; Fasano, Luca; Montanaro, Teodoro; Sergi, Ilaria; Patrono, Luigi
    In intelligent environments one of the most relevant information that can be gathered about users is their location. Their position can be easily captured without the need for a large infrastructure through devices such as smartphones or smartwatches that we easily carry around in our daily life, providing new opportunities and services in the field of pervasive computing and sensing. Location data can be very useful to infer additional information in some cases such as elderly or sick care, where inferring additional information such as the activities or types of activities they perform can provide daily indicators about their behavior and habits. To do so, we present a system able to infer user activities in indoor and outdoor environments using Global Positioning System (GPS) data together with open data sources such as OpenStreetMaps (OSM) to analyse the user’s daily activities, requiring a minimal infrastructure.