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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Within Human Activity Recognition (HAR), there is an insurmountable gap between the range of activities performed in life and those that can be captured in an annotated sensor dataset used in training. Failure to properly handle unseen activities seriously undermines any HAR classifier's reliability. Additionally within HAR, not all classes are equally dissimilar, some significantly overlap or encompass other sub-activities. Based on these observations, we arrange activity classes into a structured hierarchy. From there, we propose Hi-OSCAR: a Hierarchical Open-set Classifier for Activity Recognition, that can identify known activities at state-of-the-art accuracy while simultaneously rejecting unknown activities. This not only enables open-set classification, but also allows for unknown classes to be localized to the nearest internal node, providing insight beyond a binary “known/unknown” classification. To facilitate this and future open-set HAR research, we collected a new dataset: NFI_FARED. NFI_FARED contains data from multiple subjects performing nineteen activities from a range of contexts, including daily living, commuting, and rapid movements, which is fully public and available for download.
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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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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.
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In a multi-sensory environment, supported with embedded computer technology, the system can capture and interpret what the users are doing and assist or collaborate with the users in real-time. Such an environment should be aware of users intentions, tasks and feelings, and allow people to interact with the environment in a natural way: by moving, pointing and gesturing. In this paper we propose an architecture for such a smart environment consisting of three modules.
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The aim of this dissertation is to examine how adult learners with a spoken language background who are acquiring a signed language, learn how to use the space in front of the body to express grammatical and topographical relations. Moreover, it aims at investigating the effectiveness of different types of instruction, in particular instruction that focuses the learner's attention on the agreement verb paradigm. To that end, existing data from a learner corpus (Boers-Visker, Hammer, Deijn, Kielstra & Van den Bogaerde, 2016) were analyzed, and two novel experimental studies were designed and carried out. These studies are described in detail in Chapters 3–6. Each chapter has been submitted to a scientific journal, and accordingly, can be read independently.1 Yet, the order of the chapters follows the chronological order in which the studies were carried out, and the reader will notice that each study served as a basis to inform the next study. As such, some overlap in the sections describing the theoretical background of each study was unavoidable.
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Sign languages have been recognized as indigenous to Europe by the key European institutions. The European Parliament has passed resolutions on sign languages on three occasions (1988, 1998, 2016a). The Council of Europe’s (CoE) Parliamentary Assembly supported a resolution on sign languages in 2003 (Council of Europe, 2005), and the European Centre for Modern Languages (ECML; an organization established under the auspices of the CoE) has supported work on sign language teaching, learning and assessment (Leeson, Van den Bogaerde, Rathmann, & Haug, 2016
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In recent years video game consoles, such as the Nintendo Wii™ and the Microsoft Kinect™, have been introduced into residential facilities. This paper presents a review of current studies documenting the benefits and detriments the Wii could have on adults aged 60 years and over in residential facilities, concentrating on the common uses of the Wii in care facilities: maintaining physical fitness, promoting mental well-being, encouraging social interaction and both physical and mental rehabilitation. Furthermore, this paper discusses the potential use of the Microsoft Kinect in care for older persons. The Wii can have a positive impact on the physical and mental health of older adults living in care facilities, but additional work should still be conducted, including assessing the use of games outside of Wii Sports and Wii Fit and possible non-gaming application of the Wii in care for older adults. Results for the Wii display potential for use of the Kinect in care facilities but further exploration is required to assess the potential physical impact and interaction viability.
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A Manifesto The group of some 17 participants interrupted the UDHR text in real time, infusing it with inclusive terminology, queering its binary language and expanding its gaze to other lifebeings, making it a manifesto for a new world. The newly formulated Universal Declaration of Human and More-Than-Human Rights and Responsibility for a New World would be the manifesto for an alliance of those who insisted on an end to capitalist practices and their destructive effects on the planet.
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This deaf-led work critically explores Deaf Tech, challenging conventional understandings of technologies ‘for’ deaf people as merely assistive and accessible, since these understandings are predominantly embedded in medical and audist ideologies. By employing participatory speculative workshops, deaf participants from different European countries envisioned technologies on Eyeth - a mythical planet inhabited by deaf people - centered on their perspectives and curiosities. The results present a series of alternative socio-technical narratives that illustrate qualitative aspects of technologies desired by deaf people. This study advocates for expanding the scope of deaf technological landscapes, emphasizing the needs of establishing deaf-centered HCI, including the development of methods and concepts that truly prioritize deaf experiences in the design of technologies intended for their use.
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