Input devices based on arrays of capacitive proximity sensors allow the tracking of a user's hands in three dimensions. They can be hidden behind materials such as wood, wool or plastics without limiting their functionality, making them ideal for application in Ambient Intelligence (AmI) scenarios. Most gesture recognition frameworks are targeted towards classical input devices and interpret two-dimensional data. In this work, we present a concept for adapting classical gesture recognition methods for capacitive input devices by realizing an extension of the feature set to three dimensional input data. This allows more robust gesture recognition for free-space interaction and training specific to capacitive input devices. We have implemented this concept in a prototypical setup and tested the device in various Ambient Intelligence scenarios, ranging from manipulating home appliances to controlling multimedia applications
In the last decades the demographic change in Europe has become apparent. In Germany already 20% of the population are older than 65. This age group is particularly affected by the increasing complexity of modern public transit systems. In this paper we present the results of a user requirements elicitation of a navigation assistant for elderly people in public transit. This system shall have a targeted user experience and takes into account the personal profile of the different users, e.g. modeling mobility deficiencies that require walking aids and prevents paths that would be impassable. We have performed an exhaustive user evaluation in expert interviews and focus groups to identify suitable interface choices and in the process were able to exclude some systems that were considered obvious in initial assessments
AAL Solutions are not part of mainstream industry yet, being one of the main reasons the complexity of the technologies involved in relation to its targeted beneficiaries, the elderly, and its acceptance by them. Applying HCD methodologies for user involvement and creating physical prototypes is both costly and time consuming, particularly in this domain that combines software artifacts, devices and physical environments. VR techniques are very suited to create Virtual Prototypes that offer the beneficiaries the possibility to visualize and interact with proposed solutions before they exist. This paper presents the results of VAALID project in developing this approach of creating tools for design and simulation of AAL Solutions using VR and Mixed Reality, supporting the early involvement of beneficiaries in the process.
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