TigerPlace, A State-Academic-Private Project to Revolutionize Traditional Long-Term Care

Rantz, Marilyn; Porter, Rosemary T.; Cheshier, Debra; Otto, Donna; Servey, Charles H.; Johnson, Rebecca A.; Aud, Myra A.; Skubic, Marjorie; Tyrer, Harry W.; He, Zhihai; Demiris, George; Alexander, Gregory L.; Taylor, G. Don

doi:10.1080/02763890802097045

Cited by 48 publications

(25 citation statements)

References 17 publications

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“…The elderly and their relatives have particularly appreciated that the system spares the elderly actions that can be dangerous and warns them of dangerous situations. This trend is confirmed in almost all user evaluations involving elderly 25,3,4 . Thus, smart homes for the elderly would be much more accepted if they contain features that can reassure them regarding security more than any other features whatever their initial condition and origin in developed countries are.…”

Section: Results Of the Studysupporting

confidence: 62%

Speech-Based Interaction in an AAL-Context

Vacher¹,

Portet²,

Rossato³

et al. 2012

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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PurposeThe number of older persons in industrialized countries is steadily increasing. Seniors living alone are more numerous, and we must find solutions that will allow them to continue to stay at home comfortably and safely. Smart housings can be one of these solutions. One of the biggest challenges in ambient assisted living (AAL) is to develop smart homes that anticipate and respond to the needs of the inhabitants. Given the diverse profiles of the older adult population, it will therefore be essential to facilitate interaction with the smart home through systems that respond naturally to voice commands rather than using tactile interfaces. Method The first step in our study was to evaluate how well ambient assistive speech technology is received by the target population. We report on a user evaluation assessing acceptance and fear of this new technology. The experiment aimed at testing three important aspects of speech interaction: voice command, communication with the outside world, home automation system interrupting a person's activity. Participants were 7 older persons (71-88 years old), 7 relatives and 3 professional carers; the experiments were conducted in a smart home with a voice command using a Wizard-of-Oz technique. The second step in our study was related to the adaptation of speech recognition technologies to the older adult population. Judging by the literature this has not been extensively studied. In fact, it is known that industrialized speech recognition system models are not adapted to seniors but to other categories of the population. In order to do this we recorded a specific speech corpus (voice-age) with 7 older adults (70 to 89 years old) reading sentences (a total of 4 hours of speech). A second corpus (ERES38) of free talking (18 hours of speech) was recorded by 23 speakers (68-98 years old). These corpora were analyzed in a semi -automatic manner to reveal the aged-voice characteristics. Results & Discussion Regarding the technical aspect, it appears that some phonemes are more affected by age than others. Thus, a specific adaptation of the acoustic models for ASR is required. Regarding the acceptance aspect, voice interfaces appear to have a great potential to ease daily living for older adults and frail persons and would be better accepted than other, more intrusive, solutions. By considering still healthy and independent older persons in the user evaluation, one interesting finding was overall acceptance provided the system is not conducive to a lazy lifestyle by taking control of everything. This particular concern must be addressed in the development of smart homes that support daily living by stressing the ability to control the daily routine rather than altering it. This study shows the great interest of voice interfaces to develop efficient solution to enable the growing number of older persons to continue to live in their own homes as long as possible.

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Section: Results Of the Studysupporting

confidence: 62%

Speech-Based Interaction in an AAL-Context

Vacher¹,

Portet²,

Rossato³

et al. 2012

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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“…These technologies are part of a large interdisciplinary collaboration between engineers, nurses, and other health care individuals at the University of Missouri, Columbia [7]- [9]. This collaboration is unique because these technologies are being installed at the Tigerplace facility [10], which is a group of residential apartments for "aging in place." These technologies are being deployed and surveys are being conducted to not only test the effectiveness of the tools and processes, but also realistically integrate the technologies into these elders' lives.…”

Section: Introductionmentioning

confidence: 99%

Modeling Human Activity From Voxel Person Using Fuzzy Logic

Anderson

Luke

Keller

et al. 2009

IEEE Trans. Fuzzy Syst.

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As partof an interdisciplinary collaboration on eldercare monitoring, a sensor suite for the home has been augmented with video cameras. Multiple cameras are used to view the same environment and the world is quantized into nonoverlapping volume elements (voxels). Through the use of silhouettes, a privacy protected image representation of the human acquired from multiple cameras, a 3-D representation of the human is built in real time, called voxel person. Features are extracted from voxel person and fuzzy logic is used to reason about the membership degree of a predetermined number of states at each frame. Fuzzy logic enables human activity, which is inherently fuzzy and case-based, to be reliably modeled. Membership values provide the foundation for rejecting unknown activities, something that nearly all current approaches are insufficient in doing. We discuss temporal fuzzy confidence curves for the common elderly abnormal activity of falling. The automated system is also compared to a ground truth acquired by a human. The proposed soft computing activity analysis framework is extremely flexible. Rules can be modified, added, or removed, allowing per-resident customization based on knowledge about their cognitive and functionality ability. To the best of our knowledge, this is a new application of fuzzy logic in a novel approach to modeling and monitoring human activity, in particular, the well-being of an elderly resident, from video.Index Terms-Fall detection, fuzzy logic, human activity analysis, voxel person.

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“…An analysis of the TigerPlace Aging in Place project at the University of Missouri assumes some cost savings in the assistance of frail elderly in a new model of long term care. The project allows for independent living of residents in adequately constructed, private apartments, supported by coordinated nursing care on a case by case basis and continuous monitoring of health (Rantz et al, 2008).…”

Section: Literature Reviewmentioning

confidence: 99%

Social Return on Investment of Mutual Support Based Housing Projects: Potential for Socio-Economic Cost Savings and Higher Living Quality

Borgloh

Westerheide

2010

SSRN Journal

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Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar.Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW.Download this ZEW Discussion Paper from our ftp server:ftp://ftp.zew.de/pub/zew-docs/dp/dp10029.pdf Non-Technical SummaryThe aging of populations in the demographic change in many industrialized countries will lead to increasing costs of professional support and care for frail elderly. In order to lower the resulting financial burden for the social security system, reforms are necessary. New housing projects which foster mutual support among neighbors might contribute to solve this problem in the future. By decreasing the need for professional care and help such housing projects could lead to lower costs for the support of frail elderly.Our paper describes the results of a Social Return on Investment (SROI) analysis of four housing projects in Germany. Their common feature is the promotion of mutual neighborly assistance and joint activities among neighbors, which are coordinated and encouraged by social workers. Moreover, elder residents´ daily life is facilitated by infrastructural characteristics, among these accessibility, common meeting rooms and open contact space.Our analysis is based on a survey among residents and is complemented by a businesslevel analysis. This approach enables us to collect data on the residents' need for assistance, on how this assistance is provided, and on community life within the projects.Furthermore, we gather information on costs and yields resulting from the housing projects. To identify the effects of living in one of the projects, we compare our results to a control group of individuals living in conventional settings. We apply the method of propensity score-matching to determine differences in the need for care, the patterns of care provision, as well as cost differentials between the two groups.Our results point to substantial socio-economic cost savings induced the living conditions in the new housing projects. The costs for supporting elderly are lower than in conventional settings, which is partly due to better health conditions of the residents. These differences may to some extent be ascribed to mutual support by neighbors which is explicitly encouraged in these housing projects. Moreover, residents seem to be more active and rate living conditions more positively. As residents and the social insurance system currently seem to profit most from these cost savings, it would be important to compensate the non-profit-organizations which run the housing projects for the additional expenses incurred for promoting and facili...

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TigerPlace, A State-Academic-Private Project to Revolutionize Traditional Long-Term Care

Cited by 48 publications

References 17 publications

Speech-Based Interaction in an AAL-Context

Speech-Based Interaction in an AAL-Context

Modeling Human Activity From Voxel Person Using Fuzzy Logic

Social Return on Investment of Mutual Support Based Housing Projects: Potential for Socio-Economic Cost Savings and Higher Living Quality

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