Your Floor Knows Where You Are: Sensing and Acquisition of Movement Data

Leusmann, Philipp; Möllering, Christian; Klack, Lars; Kasugai, Kai; Ziefle, Martina; Rumpe, Bernhard

doi:10.1109/mdm.2011.29

Cited by 44 publications

(25 citation statements)

References 17 publications

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“…In TAM, the usage intention is determined by perceived usefulness, perceived ease of use, and the attitude towards using the software. Intention to use and the later use of For example, sensors in the floor detect movements and possible falls [47], an integrated scale measures a 1 the software were highly correlated, meaning that the model describes the factors influencing the adoption of a software as well as predicts future use of a software.…”

Section: Technology Acceptance Researchmentioning

confidence: 99%

Ubiquitous Computing at its best: Serious exercise games for older adults in ambient assisted living environments – a technology acceptance perspective

Brauner¹,

Holzinger²,

Ziefle³

2015

EAI Endorsed Transactions on Game-Based Learning

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Ubiquitous computing and ambient assisted living environments offer promising solutions to meet the demographic change. An example are serious games for health care: Regular exercises mediated through games increase health, well-being, and autonomy of the residents whilst at the same time reducing the costs for caregiving. To understand which factors contribute to an increased acceptance of such exercise games in ambient assisted living environments, a prototypic game was evaluated with 32 younger and 32 older players. Game performance is influenced by age, need for achievement, and also gender. Acceptance and projected use are related to the believe in making the game a habit, current gaming frequency, and social influences. Notably, the game increased the perceived health of the subjects, which is an important issue. This article concludes with guidelines to successfully introduce serious exercise games into health care and future ideas to realize social inclusion in game design. on Serious Games Research Article 2 P. Brauner et al. Games for Health (specifically Exercise Games or Exergames), and technology acceptance research, that are presented in the following section.

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Section: Technology Acceptance Researchmentioning

confidence: 99%

Ubiquitous Computing at its best: Serious exercise games for older adults in ambient assisted living environments – a technology acceptance perspective

Brauner¹,

Holzinger²,

Ziefle³

2015

EAI Endorsed Transactions on Game-Based Learning

Self Cite

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“…This type of system is used in many gait analysis studies [47,48]. In [49], a comparative assessment of the spatiotemporal information contained in the footstep signals for person recognition was performed analysing almost 20,000 valid footstep signals.…”

Section: Survey Of Objective Techniques Used For Gait Measuringmentioning

confidence: 99%

Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications

Muro-de-la-Herran

Garcia‐Zapirain

Zorrilla

2014

Sensors

888

602

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This article presents a review of the methods used in recognition and analysis of the human gait from three different approaches: image processing, floor sensors and sensors placed on the body. Progress in new technologies has led the development of a series of devices and techniques which allow for objective evaluation, making measurements more efficient and effective and providing specialists with reliable information. Firstly, an introduction of the key gait parameters and semi-subjective methods is presented. Secondly, technologies and studies on the different objective methods are reviewed. Finally, based on the latest research, the characteristics of each method are discussed. 40% of the reviewed articles published in late 2012 and 2013 were related to non-wearable systems, 37.5% presented inertial sensor-based systems, and the remaining 22.5% corresponded to other wearable systems. An increasing number of research works demonstrate that various parameters such as precision, conformability, usability or transportability have indicated that the portable systems based on body sensors are promising methods for gait analysis.

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“…Building elements such as walls and ceilings are more and more used for integrating (hidden) devices (Doctor, Iqbal, and Naguib 2014;Fernandez-Luque et al 2013;Grierson et al 2011;Helal et al 2012;Jimenez et al 2013;Lauterbach, Steinhage, and Techmer 2012;Mowafey and Gardner 2012;Olivier et al 2009;Raad and Yang 2009;Xian 2007) such as Internet protocol video cameras (Olivier et al 2009) and passive system antennas (Chan et al 2008), or as an interface to communicate with the inhabitants (Olivier et al 2009;Maier and Kempter 2009), for example, colour code display when an anomaly is detected (Romero et al 2009) and multitouch wall (Leusmann et al 2011).…”

Section: Necessary Evaluation Of the Building Environmentmentioning

confidence: 99%

“…They may be instrumented with accelerometers (Li 2013), piezoelectric sensors (Alwan 2009;Klack et al 2011;Leusmann et al 2011), (capacitive) pressure sensors (Olivier et al 2009;Helal et al 2012;Hoey et al 2011;Stefanov, Bien, and Bang 2004), micro-electro-mechanical systems (MEMS) (Fernandez-Luque et al 2013;Helal et al 2012), or innovative sensors using the near-field imaging principle (reported in Leone, Diraco, and Siciliano 2013), but the solution of a ready-to-be-used pressure-sensitive textile layer (Hanson, Barth, and Silverman 2011;Lauterbach et al 2012), called a presence mat or pressure mat, has been popular since the last years . The same technologies can be used for detecting sofa/bed/chair occupancy (Almudevar et al 2008;Cruz-Sanchez et al 2012;Fernandez-Luque et al 2013;Hilbe et al 2010;Kosse et al 2013;Muñoz et al 2011;Palumbo et al 2014;Suryadevara et al 2013;Raad and Yang 2009;Zhang, Hariz, and Mokhtari 2008).…”

Section: Necessary Evaluation Of the Building Environmentmentioning

confidence: 99%

Smart home technologies that support independent living: challenges and opportunities for the building industry – a systematic mapping study

Labonnote

Høyland

2015

Intelligent Buildings International

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Objective: To provide an overview of the state of research concerning smart technologies that support independent living in buildings, as well as a deeper literature review of the specific challenges for the building industry. Methods: A systematic mapping methodology was applied in this study to provide basis knowledge on the state of the art. The initial search on three databases gave 3485 articles. Of these, 610 articles were finally selected as relevant to the study after removing the duplicates and screening by applying inclusion and exclusion criteria based on titles and abstracts. Keywording was performed in order to answer the research questions of the study. Results: Results from the systematic mapping technology allow the detection of almost mature technologies, as well as promising technologies and research gaps. Results from the deeper literature review have identified challenges and new trends specific to the building industry. Conclusions: Efforts are still needed for the building industry in order to contribute significantly to meeting societal needs. Further research: Research fields that would benefit from further research are highlighted.

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Your Floor Knows Where You Are: Sensing and Acquisition of Movement Data

Cited by 44 publications

References 17 publications

Ubiquitous Computing at its best: Serious exercise games for older adults in ambient assisted living environments – a technology acceptance perspective

Ubiquitous Computing at its best: Serious exercise games for older adults in ambient assisted living environments – a technology acceptance perspective

Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications

Smart home technologies that support independent living: challenges and opportunities for the building industry – a systematic mapping study

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