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The ACANTO project is developing robotic assistants to aid the confidence and recovery of older adults. A key requirement of these assistants is aiding with navigation in complex and potentially chaotic environments. Prior work has addressed this for a single user, using a single robotic assistant in an intelligent environment. However, for therape...
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... latency parameter (τ in (1)) is also likely to be greater for groups, however some of the latency is included implicitly by the increased mass. Figure 3 illustrates an hypothetical scenario of groups diverging and coalescing over time, noting that these phenomena are also evident in the automatically- generated visualisations of the output of these on-the- fly algorithms applied to real observations (see Sec- tion 9). The groups labelled 1, 2 and 3 are assumed to comprise a single pedestrian. ...
Context 2
... latency parameter (τ in (1)) is also likely to be greater for groups, however some of the latency is included implicitly by the increased mass. Figure 3 illustrates an hypothetical scenario of groups diverging and coalescing over time, noting that these phenomena are also evident in the automatically- generated visualisations of the output of these on-the- fly algorithms applied to real observations (see Sec- tion 9). The groups labelled 1, 2 and 3 are assumed to comprise a single pedestrian. ...
Citations
... Intelligent Environment Systems plays an important role in approximately all sectors. This field is 65 becoming a must have for cities with increased industrialization, high population and massive 66 transportation, as these sectors are the main reason behind increasing pollution (Wilson, T., et al., 2018). 67 68 ...
In the populated and developing countries, governments consider the regulation and protection of environment as a major task and should take into consideration the concept of smart environment monitoring. The main motive of these systems is to enhance the environment with various technology including sensors, processors, data sets, and other devices connected across the globe through a network. This system can help in monitoring air quality. Also, these factors contribute a lot to air pollution. So, forecasting air quality index using an intelligent environment system includes a machine learning model to predict air quality index for NCR (National Capital Region). The values of major pollutants like SO2, PM2.5, CO, PM10, NO2, and O3. The authors have implemented different machine learning algorithms of classification and regression techniques. To make their prediction more accurate, mean square error, mean absolute error, and R square errors have been considered. The chapter helps to frame a structured view of air quality prediction methods in the reader's mind and also gives suggestions for other prediction methods as well. The real challenge is to decide which method will be applied in predicting air quality. Hence, it is important to test and use all these methods.
... Intelligent Environment Systems plays an important role in approximately all sectors. This field is becoming a must have for cities with increased industrialization, high population and massive transportation, as these sectors are the main reason behind increasing pollution [18]. ...
... It is particularly difficult to decide which are the most important quality properties to be fulfilled in an IE. In this last decade, some researchers of the IE field have focussed their contributions on addressing specific quality goals [10][11][12][13][14][15][16][17][18]. However, there are fewer contributions analyzing the interactions between those quality properties, and how they should be balanced with others in real consumer-oriented developments. ...
... Intelligent environment systems play an important role in approximately all sectors. This field is becoming a must have for cities with increased industrialisation, high population and massive transportation, as these sectors are the main reason behind increasing pollution (Wilson et al., 2018). ...
... Intelligent environment systems play an important role in approximately all sectors. This field is becoming a must have for cities with increased industrialisation, high population and massive transportation, as these sectors are the main reason behind increasing pollution (Wilson et al., 2018). ...
... Intelligent Environment Systems plays an important role in approximately all sectors. This field is becoming a must have for cities with increased industrialization, high population and massive transportation, as these sectors are the main reason behind increasing pollution (Wilson, T., et al., 2018). ...
... Accordingly, the more specific problem is a problem of optimizing the route with respect to a number of contextual factors including factors of personal preferences or specific narratives [124] that allow a structuring of the information contents associated with each location and has been studied early as an example of an LAS application [164]. A more recent example demonstrates that not only individual navigation strategies, but also navigation of groups can be supported [61]. ...
With the CoViD-19 pandemic, location awareness technologies have seen renewed interests due to the numerous contact tracking mobile application variants developed, deployed, and discussed. For some, location-aware applications are primarily a producer of geospatial Big Data required for vital geospatial analysis and visualization of the spread of the disease in a state of emergency. For others, comprehensive tracking of citizens constitutes a dangerous violation of fundamental rights. Commercial web-based location-aware applications both collect data and-through spatial analysis and connection to services-provide value to users. This value is what motivates users to share increasingly private and comprehensive data. The willingness of users to share data in return for services has been a key concern with web-based variants of the technology since the beginning. With a focus on two privacy preserving CoViD-19 contact tracking applications, this survey walks through the key steps of developing a privacy preserving context-aware application: from types of applications and business models, through architectures and privacy strategies, to representations.
... Last but not least, in the third paper [21], Given-Wilson, Legay, Sedwards, and Zendra propose the ACANTO project to develop robotic assistants helping older adults engaged in therapeutic activities to navigate through complex physical environments. A key contribution of ACANTO is that it addresses navigation in multi-user, multi-robot environments. ...
