Elder Monitoring Workflow System for Independent Living

Jecan, Sergiu; Benţa, Dan; Rusu, Lucia; Arba, Raluca

doi:10.15837/ijccc.2018.1.3000

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…e random forest spectrum model can construct the model in the time series with the highest serialized feature for extensive application during scientific computation of spatial recognition in the financial service sector [14,15]. In the model, N states are S � S 1 , S 2 , .…”

Section: Methods and Modelsmentioning

confidence: 99%

Visual Aggregation of Spatial Recognition Scientific Computations in the Financial Service Sector Based on the Random Forest Graph Model

Zheng

Yang²

2022

Discrete Dynamics in Nature and Society

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In view of the current problems in the visual aggregation of the financial service industry, the random forest graph model is applied to the spatial recognition of the financial service industry’s scientific calculation visual aggregation in this paper. Based on the detailed analysis of the characteristics of the financial service industry in the past, combined with the characteristics of finance, this method is used to construct a random forest graph model, which mainly optimizes parameters from different aspects such as model structure, data characteristics, and dynamic changes of the model to obtain optimal parameter values of the random forest graph model. Finally, through the analysis of the experimental results, it can be seen that, according to the spatial state of the financial service industry, the method proposed in this paper can be used for visual aggregation analysis. This method can effectively improve the timeliness of the scientific calculation of spatial recognition in the financial service industry.

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Section: Methods and Modelsmentioning

confidence: 99%

Visual Aggregation of Spatial Recognition Scientific Computations in the Financial Service Sector Based on the Random Forest Graph Model

Zheng

Yang²

2022

Discrete Dynamics in Nature and Society

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“…Over the past years, the foundations of gerontechnology, the symbiotic science between gerontology and technology, have been laid [21,22]. Ambient assistive living technology (AAL)represents solutions that improve the lives of the elderly, support elderly/disabled people in carrying out daily activities [21,23], in reducing falls, disability, stress, fear or social isolation [24], in living independently in their own homes [3], in recovering after various events. The AAL Joint Programme was co-financed by the European Commission and the following 22 [25,26] and progress of the society [25].…”

Section: Smart Homes For Older People Involved In Rehabilitation Actimentioning

confidence: 99%

Smart homes for older people involved in rehabilitation activities - reality or dream, acceptance or rejection?

Sitar-Tăut¹,

Cluj-Napoca²,

Sitar‐Tăut³

et al. 2018

Balneo

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Introduction Recent statistics show an increase in the prevalence of the elderly population. The year 2012 was declared European Year for Active Ageing and Solidarity between Generations, and the European Commission launched campaigns like The Active and Assisted Living Joint Program (AAL JP). Rehabilitation in the elderly is a desideratum, but the problems of rehabilitation in the elderly are numerous. The aim of the study was to evaluate degree of acceptance/implementation of different technologies in Romania, of monitoring in the rehabilitation activity conducted at home. Material and methods the study comprised 154 persons with a mean age of 73.37 ± 7.33 years, of which 64 (41.6%) male and 90 (58.4%) female. All subjects completed a questionnaire regarding the living conditions and health status, about the degree of acceptance of intelligent technologies for monitoring current health status/reporting acute events. Results 18.2% used the Internet frequently, and the rest used it almost never or rarely. 71.9 % of patients agreed to wear a portable sensor (p=0.07 between men and women), 33.1% accepted videocam, 47.4% accepted a screen, 41.3% accepted living room monitoring, 68% sensor in the room on the wall and 69.1% accepted fall detection sensor. No significant differences were found regarding the acceptance vs rejection of personal sensors, living room monitoring, sensors in the room, fall detection sensors depending on the gender, income level, type of caregiving. Using of videocam and screen was influenced by type of care giving and income (p=0.002, p<0.001, respectively for screen p=0.032 and p=0.003). In conclusion, Romanian old people are not keen on using intelligent devices for health status related to acute event monitoring. More programs and measures are needed for device implementation in real life.

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Elder Monitoring Workflow System for Independent Living

Cited by 2 publications

References 3 publications

Visual Aggregation of Spatial Recognition Scientific Computations in the Financial Service Sector Based on the Random Forest Graph Model

Visual Aggregation of Spatial Recognition Scientific Computations in the Financial Service Sector Based on the Random Forest Graph Model

Smart homes for older people involved in rehabilitation activities - reality or dream, acceptance or rejection?

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