The dark side of consumer-smart object relationship: A non-user perspective

4noopenSmart Objects promise to become an essential presence in consumer life and routines. Due to their abilities, these devices can be perceived as a social entity and also able to play different kinds of social roles. However, the diffusion of Smart Objects is not meeting the expectation. Pivoting on Smart Object social roles, the relational approach, already used in the marketing literature, can be an appropriate tool to understand the non-user resistance toward these innovative devices with anthropomorphic features. Thirty-three non-users participated in ZMET interviews. Four types of fears emerged from the coding of the interviews. Each fear is associated with a specific social role played by the Smart Object: Fear of Being Controlled (the Smart Object as a Stalker); Fear of Being Dominated (the Smart Object as a Captor); Fear of Being Subordinated (the Smart Object as a Master); Fear of Losing Self-Control (the Smart Object as a Seducer).openAccademicoMonsurrò Luigi, Querci Ilaria, Peverini Paolo, Romani SimonaMonsurrò, Luigi; Querci, Ilaria; Peverini, Paolo; Romani, Simon

Smart object for physical rehabilitation assessment

The technologies associated with smart healthcare are a reality nowadays, however in the physical therapy area there is still lack of patient monitoring during the physical rehabilitation and common usage of walking aids by the patients affected by lower limb impairments. Currently there are fewer systems that provide the patient monitoring during the rehabilitation process by physiotherapists, which may lead to less adequate diagnostic techniques for the patient's physical condition. The dissertation presents a solution to this problem by relying on smart equipment used in physical rehabilitation, more precisely a crutch. By embedding multiple smart sensors on crutches, the physiotherapist will be provided appropriate information regarding the interaction between the patient and the walking aids through a mobile application, developed for Android systems, which will receive data from the sensors via Bluetooth. All the data collected will be stored in a local database located on the physiotherapist’s mobile device and also on a remote server, giving the possibility of having a full offline application. This system allows for any session previously done to be consulted, which results in the possibility of visualizing historical values and comparing them with different sessions, allowing the physiotherapist to analyze the evolution of the patients.As tecnologias associadas à saúde são uma realidade na atualidade, porém na área de fisioterapia ainda há falta de monitorização dos pacientes durante a fisioterapia e o uso de objetos que auxiliam o movimento pelos pacientes afetados por deficiências nos membros inferiores. Atualmente, existem poucos sistemas que proporcionam a monitorização do paciente durante o processo de reabilitação por fisioterapeutas, o que pode levar a técnicas de diagnóstico menos adequadas para a condição física do paciente. A dissertação apresenta uma solução para este problema, contando com equipamentos inteligentes utilizados em fisioterapia, mais precisamente uma muleta. Ao incorporar vários sensores inteligentes em muletas, o fisioterapeuta receberá informações adequadas sobre a interação entre o paciente e as muletas através de uma aplicação móvel, desenvolvida para sistemas Android, que receberá dados dos sensores via Bluetooth. Todos os dados recebidos serão armazenados numa base de dados local localizada no dispositivo móvel do fisioterapeuta e também num servidor remoto para fins de sincronização, dando a possibilidade de ter um uma aplicação completamente offline

Smart Object Reminders with RFID and Mobile Technologies

[[abstract]]In this paper, we present a reminder system that sends a reminder list to the user's mobile device based on the history data collected from the same user and the events in the user's calendar on that day. The system provides an individualized service. The list is to remind the user with objects he/she might have forgotten at home. The objects that the user brings along with are detected by passive RFID technology. Objects are classified into three different levels based on their frequencies in the history data. Rules of the three levels are then followed to decide if a certain object should be in the reminder list or not. A feedback mechanism is also designed to lower the possibility of unnecessary reminding.[[incitationindex]]SCI[[booktype]]電子

Smart objects as building blocks for the internet of things

The combination of the Internet and emerging technologies such as nearfield communications, real-time localization, and embedded sensors lets us transform everyday objects into smart objects that can understand and react to their environment. Such objects are building blocks for the Internet of Things and enable novel computing applications. As a step toward design and architectural principles for smart objects, the authors introduce a hierarchy of architectures with increasing levels of real-world awareness and interactivity. In particular, they describe activity-, policy-, and process-aware smart objects and demonstrate how the respective architectural abstractions support increasingly complex application

Robust Automatic 3D Point Cloud Registration and Object Detection

This article presents a ground-breaking approach to generating survey data for a BIM process offered by the Vercator toolkit. Produced by a UCL spin-out company, Correvate, it touches on the robust automatic registration and smart object recognition technology that the company is developing for downstream analysis

Smart Geographic object: Toward a new understanding of GIS Technology in Ubiquitous Computing

One of the fundamental aspects of ubiquitous computing is the instrumentation of the real world by smart devices. This instrumentation constitutes an opportunity to rethink the interactions between human beings and their environment on the one hand, and between the components of this environment on the other. In this paper we discuss what this understanding of ubiquitous computing can bring to geographic science and particularly to GIS technology. Our main idea is the instrumentation of the geographic environment through the instrumentation of geographic objects composing it. And then investigate how this instrumentation can meet the current limitations of GIS technology, and offers a new stage of rapprochement between the earth and its abstraction. As result, the current research work proposes a new concept we named Smart Geographic Object SGO. The latter is a convergence point between the smart objects and geographic objects, two concepts appertaining respectively to

Management system for IPv6-enabled wireless sensor networks

“Copyright © [2011] IEEE. Reprinted from Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing. ISBN 978-1-4577-1976-9 This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.”It is expected that in the near future smart objects will have an Internet connection – this is the Internet of Things vision. Most of these objects compatible with the IEEE 802.15.4 standard are characterized by small size, power constrains, and small computing resources. Connecting such devices to the Internet is considered simultaneously the biggest challenge and a great opportunity for the Internet growth. To achieve the Internet of things vision is necessary to support IPv6 protocol suite in all objects. Supporting IPv6 simplifies, simultaneously, the integration of these objects in the Internet and their management. Actually, despite of the relevance, there are no existing standard solutions to manage smart object networks. Managing this type of networks poses a unique challenge because smart object networks may be comprised of thousands of nodes, are highly dynamic and prone to failures. This paper presents a complete solution to manage smart object networks based on SNMPv1 protocol. The paper also presents the design and deployment of a laboratory testbed