We will demonstrate a prototype exergame aimed at the serious domain of elderly fitness. The exergame incorporates straightforward means to gesture recognition, and utilises a Kinect camera to obtain 2.5D sensory data of the human user.
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The goal of this study was (1) to determine whether and how nursing home residents with dementia respond to the interactive art installation in general and (2) to identify whether responses change when the content type and, therefore, the nature of the interaction with the artwork changes. The interactive art installation ‘VENSTER’ evokes responses in nursing home residents with dementia, illustrating the potential of interactive artworks in the nursing home environment. Frequently observed responses were naming, recognizing or asking questions about depicted content and how the installation worked, physically gesturing towards or tapping on the screen and tapping or singing along to the music. It seemed content matters a lot. When VENSTER is to be used in routine care, the choice of a type of content is critical to the intended experience/usage in practice. In this study, recognition seemed to trigger memory and (in most cases) a verbal reaction, while indistinctness led to asking for more information. When (initially) coached by a care provider, residents actively engaged physically with the screen. Responses differed between content types, which makes it important to further explore different types of content and content as an interface to provide meaningful experiences for nursing home residents. •Implications for rehabilitation •VENSTER can facilitate different types of responses ranging from verbal reactions to active physical engagement. The choice of a type of content is critical to the intended experience/usage in practice. •Activating content seems suitable for use as a meaningful experience during the spare time in between existing activities or therapy. •Sessions with interactive content are short (avg. 30 mins) and intense and can therefore potentially be used as an activating therapy, activity or exercise. •In order to actively engage residents with dementia, the role of the care provider seems very important.
MULTIFILE
The security of online assessments is a major concern due to widespread cheating. One common form of cheating is impersonation, where students invite unauthorized persons to take assessments on their behalf. Several techniques exist to handle impersonation. Some researchers recommend use of integrity policy, but communicating the policy effectively to the students is a challenge. Others propose authentication methods like, password and fingerprint; they offer initial authentication but are vulnerable thereafter. Face recognition offers post-login authentication but necessitates additional hardware. Keystroke Dynamics (KD) has been used to provide post-login authentication without any additional hardware, but its use is limited to subjective assessment. In this work, we address impersonation in assessments with Multiple Choice Questions (MCQ). Our approach combines two key strategies: reinforcement of integrity policy for prevention, and keystroke-based random authentication for detection of impersonation. To the best of our knowledge, it is the first attempt to use keystroke dynamics for post-login authentication in the context of MCQ. We improve an online quiz tool for the data collection suited to our needs and use feature engineering to address the challenge of high-dimensional keystroke datasets. Using machine learning classifiers, we identify the best-performing model for authenticating the students. The results indicate that the highest accuracy (83%) is achieved by the Isolation Forest classifier. Furthermore, to validate the results, the approach is applied to Carnegie Mellon University (CMU) benchmark dataset, thereby achieving an improved accuracy of 94%. Though we also used mouse dynamics for authentication, but its subpar performance leads us to not consider it for our approach.
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