884 resultados para Indoor games
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Ausgehend vom Körper als Vermittler zwischen Subjekt und Gesellschaft wird die Frage beantwortet, wie Migrantinnen auf diskursiv erzeugte Normen und Werte der schweizerischen Mehrheitsgesellschaft im Kontext von Schwimmkursen als Integrationsmaßnahme reagieren. Die Feldaufenthalte und Interviews erlauben eine Analyse dominanter Macht- und subversiver Selbstermächtigungsprozesse innerhalb eines körperzentrierten, religiös-kulturell pluralisierten und ethnisch differenzierten Feldes. Hierbei werden Divergenzen in der verkörperten und objektiven Sozialstruktur sichtbar, was sich beispielsweise in den kontrovers geführten Debatten zur Wahl der Badekleidung und Badnutzung verdeutlicht. Bei den Aushandlungen um die Durchsetzung von Deutungs- sowie Ordnungsmustern lassen sich Prozesse der kulturellen Anpassung, Anknüpfung und des Neuentwurfs beobachten.
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This paper examines the mitigating effect of social accounts on retaliatory behavior in a miniultimatum game setting. Results from games with 108 German high school students support the hypothesis that an ex ante informational and sensitive message can decrease an individuals’ negative perception of an unfair offer and increase the acceptance of the outcome. Furthermore, the moderating effect of gender on retaliatory behavior is investigated. We show that an informational and sensitive message makes more of a difference for women in accepting unfair distributions than it does for men.
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This work addresses the evolution of an artificial neural network (ANN) to assist in the problem of indoor robotic localization. We investigate the design and building of an autonomous localization system based on information gathered from wireless networks (WN). The article focuses on the evolved ANN, which provides the position of a robot in a space, as in a Cartesian coordinate system, corroborating with the evolutionary robotic research area and showing its practical viability. The proposed system was tested in several experiments, evaluating not only the impact of different evolutionary computation parameters but also the role of the transfer functions on the evolution of the ANN. Results show that slight variations in the parameters lead to significant differences on the evolution process and, therefore, in the accuracy of the robot position.
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Sie wollen fitter werden, etwas für Ihre Gesundheit tun? Dieser Beobachter-Ratgeber unterstützt Sie dabei, Freude am Sport zu entwickeln. Die Autorinnen – zwei begeisterte Sportlerinnen – zeigen Ihnen, wie Sie von der Idee zum Tun gelangen. Wie Sie Ihren Willen stärken, sich klare Ziele setzen und diese auch erreichen. Mithilfe von Fragebogen und Aufgabenboxen setzen Sie die Ratschläge konkret um und finden Ihren persönlichen Zugang zu mehr Bewegung. Besonders hilfreich sind die Beschreibungen unterschiedlicher Indoor- und Outdoorsportarten. So finden Sie den Weg zu einem aktiven Lebensstil. Denn das ist die wichtigste Botschaft dieses Buches: Sport und Bewegung tun gut und können richtig Spass machen.
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This study deals with indoor positioning using GSM radio, which has the distinct advantage of wide coverage over other wireless technologies. In particular, we focus on passive localization systems that are able to achieve high localization accuracy without any prior knowledge of the indoor environment or the tracking device radio settings. In order to overcome these challenges, newly proposed localization algorithms based on the exploitation of the received signal strength (RSS) are proposed. We explore the effects of non-line-of-sight communication links, opening and closing of doors, and human mobility on RSS measurements and localization accuracy. We have implemented the proposed algorithms on top of software defined radio systems and carried out detailed empirical indoor experiments. The performance results show that the proposed solutions are accurate with average localization errors between 2.4 and 3.2 meters.
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Objectives Despite many reports on best practises regarding onsite psychological services, little research has attempted to systematically explore the frequency, issues, nature and client groups of onsite sport psychology consultancy at the Olympic Games. The present paper will fill this gap through a systematic analysis of the sport psychology consultancy of the Swiss team for the Olympic Games of 2006 in Turin, 2008 in Beijing and 2010 in Vancouver. Design Descriptive research design. Methods The day reports of the official sport psychologist were analysed. Intervention issues were labelled using categories derived from previous research and divided into the following four intervention-issue dimensions: “general performance”, “specific Olympic performance”, “organisational” and “personal” issues. Data were analysed using descriptive statistics, chi square statistics and odds ratios. Results Across the Olympic Games, between 11% and 25% of the Swiss delegation used the sport psychology services. On average, the sport psychologist provided between 2.1 and 4.6 interventions per day. Around 50% of the interventions were informal interventions. Around 30% of the clients were coaches. The most commonly addressed issues were performance related. An association was observed between previous collaboration, intervention likelihood and intervention theme. Conclusions Sport psychologists working at the Olympic Games are fully engaged with daily interventions and should have developed ideally long-term relationships with clients to truly help athletes with general performance issues. Critical incidents, working with coaches, brief contact interventions and team conflicts are specific features of the onsite consultancy. Practitioners should be trained to deal with these sorts of challenges.
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Attractive business cases in various application fields contribute to the sustained long-term interest in indoor localization and tracking by the research community. Location tracking is generally treated as a dynamic state estimation problem, consisting of two steps: (i) location estimation through measurement, and (ii) location prediction. For the estimation step, one of the most efficient and low-cost solutions is Received Signal Strength (RSS)-based ranging. However, various challenges - unrealistic propagation model, non-line of sight (NLOS), and multipath propagation - are yet to be addressed. Particle filters are a popular choice for dealing with the inherent non-linearities in both location measurements and motion dynamics. While such filters have been successfully applied to accurate, time-based ranging measurements, dealing with the more error-prone RSS based ranging is still challenging. In this work, we address the above issues with a novel, weighted likelihood, bootstrap particle filter for tracking via RSS-based ranging. Our filter weights the individual likelihoods from different anchor nodes exponentially, according to the ranging estimation. We also employ an improved propagation model for more accurate RSS-based ranging, which we suggested in recent work. We implemented and tested our algorithm in a passive localization system with IEEE 802.15.4 signals, showing that our proposed solution largely outperforms a traditional bootstrap particle filter.
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Games that simulate complex realities to be dealt with in teams are an effective tool for fostering interactive learning processes. they link different levels of decision-making in the household, community and societal contexts. Negotiation and harmonisation of different perceptions and interests, be it within or between different households, form the basis of a common strategy for sustainable development.
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Indoor positioning has become an emerging research area because of huge commercial demands for location-based services in indoor environments. Channel State Information (CSI) as a fine-grained physical layer information has been recently proposed to achieve high positioning accuracy by using range-based methods, e.g., trilateration. In this work, we propose to fuse the CSI-based ranges and velocity estimated from inertial sensors by an enhanced particle filter to achieve highly accurate tracking. The algorithm relies on some enhanced ranging methods and further mitigates the remaining ranging errors by a weighting technique. Additionally, we provide an efficient method to estimate the velocity based on inertial sensors. The algorithms are designed in a network-based system, which uses rather cheap commercial devices as anchor nodes. We evaluate our system in a complex environment along three different moving paths. Our proposed tracking method can achieve 1:3m for mean accuracy and 2:2m for 90% accuracy, which is more accurate and stable than pedestrian dead reckoning and range-based positioning.