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Titlebook: Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligenc; Juan F. De Paz,Vicente Julián,Paulo

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樓主: Waterproof
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發(fā)表于 2025-3-23 10:32:50 | 只看該作者
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發(fā)表于 2025-3-23 13:56:13 | 只看該作者
A Task Recommendation System for Children and Youth with Autism Spectrum Disorder, development and significantly improve the prognosis of the disease. It is our intention to develop a task Recommendation System, which will use a Case-based Reasoning machine learning technique, in order to supplement the child’s regular therapy. Besides the tasks’ recommendation, this application
13#
發(fā)表于 2025-3-23 20:10:20 | 只看該作者
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發(fā)表于 2025-3-23 23:07:41 | 只看該作者
Envisaging the Internet of People an Approach to the Vulnerable Road Users Problem,e as an active and participative element. Literature shows that a new paradigm, entitled as Internet of People, is now emerging. Our envisage of such paradigm consists in a dynamic global network where things and people understand each other, being crucial for problems where the human being is a cen
15#
發(fā)表于 2025-3-24 03:08:55 | 只看該作者
Intelligent Smartphone Audiometry,ices at status quo. To make health care sustainable, the paradigm Ambient Intelligence can be used to exploit information and telecommunication technology for the development of autonomous healthcare services. Following this approach, we design and implement a virtual audiologist dubbed ViA, perform
16#
發(fā)表于 2025-3-24 06:39:57 | 只看該作者
Smart Computer-Assisted Cognitive Rehabilitation for Visually Impaired People,ems that allow people with disabilities to improve and recover some lost physical or cognitive capabilities. In general, the use of Kinect sensors to control the patient’s movements is the most common solution. In this case, the use of visual capabilities is needed because the patient must recognise
17#
發(fā)表于 2025-3-24 14:36:00 | 只看該作者
Electric Vehicle Urban Exploration by Anti-pheromone Swarm Based Algorithms,se a distributed multi agent architecture to test this algorithm. Swarm collaboration is analysed for different scenarios with varying number of units and map complexity. We show how an increase in the number of robots results in smaller exploration times. Also, we measure how the complexity of the
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發(fā)表于 2025-3-24 18:15:16 | 只看該作者
19#
發(fā)表于 2025-3-24 22:28:57 | 只看該作者
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發(fā)表于 2025-3-24 23:50:34 | 只看該作者
https://doi.org/10.1007/978-3-663-02164-3ation with integrity guarantees and multi-platform operation. Moreover, the proposed solutions is the only one that performs an extensive and homogeneous artifact collection, independently of the underlying operating system.
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