Remote monitoring of daily activities and behaviors at home

2005 ◽  
Author(s):  
M. Ogawa ◽  
S. Ochia ◽  
K. Otsuka ◽  
T. Togawa
Keyword(s):  
Remote Monitoring ◽  
Daily Activities ◽  
And Behaviors ◽  
At Home

scholarly journals Identifying Fall Risk Predictors by Monitoring Daily Activities at Home Using a Depth Sensor Coupled to Machine Learning Algorithms

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1957
Author(s):  
Amandine Dubois ◽  
Titus Bihl ◽  
Jean-Pierre Bresciani
Keyword(s):  
Machine Learning ◽  
Fall Prevention ◽  
Fall Risk ◽  
Learning Algorithms ◽  
Step Length ◽  
Machine Learning Algorithms ◽  
Daily Activities ◽  
Sitting Time ◽  
Behavioral Parameters ◽  
At Home

Because of population ageing, fall prevention represents a human, economic, and social issue. Currently, fall-risk is assessed infrequently, and usually only after the first fall occurrence. Home monitoring could improve fall prevention. Our aim was to monitor daily activities at home in order to identify the behavioral parameters that best discriminate high fall risk from low fall risk individuals. Microsoft Kinect sensors were placed in the room of 30 patients temporarily residing in a rehabilitation center. The sensors captured the patients’ movements while they were going about their daily activities. Different behavioral parameters, such as speed to sit down, gait speed or total sitting time were extracted and analyzed combining statistical and machine learning algorithms. Our algorithms classified the patients according to their estimated fall risk. The automatic fall risk assessment performed by the algorithms was then benchmarked against fall risk assessments performed by clinicians using the Tinetti test and the Timed Up and Go test. Step length, sit-stand transition and total sitting time were the most discriminant parameters to classify patients according to their fall risk. Coupling step length to the speed required to stand up or the total sitting time gave rise to an error-less classification of the patients, i.e., to the same classification as that of the clinicians. A monitoring system extracting step length and sit-stand transitions at home could complement the clinicians’ assessment toolkit and improve fall prevention.

A Deaf-Blind Man on the Job and at Home

1957 ◽  
Vol 51 (6) ◽  
pp. 255-257
Keyword(s):  
Daily Activities ◽  
Blind Person ◽  
Recent Letter ◽  
Blind Persons ◽  
At Home ◽  
Union College

Among the New Outlook's purposes is that of publishing, from, time to time, material indicating in a practical way how blind persons perform their professional jobs and other routines. In a recent letter to Miss Annette Dinsmore at AFB, reprinted below, Richard Kinney, of the staff of the Hddley Correspondence School, provides a sparkling recital of his work at that school as well as of his daily activities, which is suggestive of the versatility and resourcefulness that stand in such good stead for a blind person. There is an even far greater impact in Mr. Kinney's achievements and his irrepressible zest in the knowledge that he functions with a double handicap of deafness as well as blindness. Mr. Kinney graduated summa cum laude from Mt. Union College in 1954, and was valedictorian of his class.

scholarly journals In-home monitoring evaluation by home-dwelling older adults, caregivers and healthcare providers

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
B Pais ◽  
P Buluschek ◽  
T Nef ◽  
N Schütz ◽  
H Saner ◽  
...  
Keyword(s):  
Older Adults ◽  
Home Care ◽  
Older People ◽  
Healthcare Providers ◽  
Home Monitoring ◽  
Daily Activities ◽  
Healthcare Needs ◽  
Monitoring Technologies ◽  
The Impact ◽  
At Home

Abstract Background In Europe, population ageing is increasing the healthcare needs and costs. Both frailty and chronic diseases affecting older people reduce their ability to live independently. However, most older people prefer to age in their own homes. New development of in-home monitoring can play a role in staying independent, active and healthy. Our objective was to evaluate a new in-home monitoring system among home-dwelling older adults (OA), their family caregivers (FC), and their healthcare providers (HCP) for the support of home care. Methods The system continuously monitored OA’s daily activities (e.g., mobility, sleep habits, fridge visits, door events) at home by ambient sensor system (DomoCare®) and health-related events by wearable sensors (Fitbit®, ECG). In case of deviations in daily activities (e.g., changes in mobility), alerts were transmitted to HCP via email. Using specific questionnaires, the opinion of 13 OA, 13 FC, and 20 HCP were collected at the end of 12-month of follow-up focusing on their user experience and the impact of in-home monitoring on home care services. Results These preliminary results underlined that the majority of OA, FC, and HCP consider that in-home sensors can help staying at home, improving home care, reducing family stress, and preventing domestic accidents. The opinion tended to be more favourable toward ambient sensors (80%) than toward Fitbit® (67%) and ECG (64%). On average, OA (80%) and FC (73%) tended to be more enthusiast than HCP (63%). Some barriers reported by HCP were a fear of weakening of the relationship with OA and an excessive surveillance. Conclusions Overall, the opinion of OA, FC and HCP were positive related to in-home sensors, with HCP being more mixed about their use in clinical practice. Key messages In-home monitoring technologies seem to be generally well accepted. In-home monitoring technologies could be help facilitating home care of older people.

Wearable Medical Device for Remote Monitoring the Health of Elderly People at Home

2020 ◽  
Author(s):  
Diego Barrettino ◽  
Thomas Gisler ◽  
Christoph Zumbuhl ◽  
Christian Di Battista ◽  
Raphael Kummer ◽  
...  
Keyword(s):  
Elderly People ◽  
Medical Device ◽  
Remote Monitoring ◽  
Wearable Medical ◽  
At Home

Remote Monitoring of Health Status of the Elderly at Home in Taiwan

2010 ◽  
Vol 16 (6) ◽  
pp. 717-726 ◽  
Author(s):  
Kuang-Hui Chiu ◽  
Yolande Y. Yang
Keyword(s):  
Health Status ◽  
Remote Monitoring ◽  
The Elderly ◽  
At Home

scholarly journals Case Report: Coronavirus Disease-19 Pandemic Associated Gaming Disorder

2021 ◽  
Vol 9 (T3) ◽  
pp. 81-83
Author(s):  
Syaifuddin Nasution ◽  
Mustafa M. Amin ◽  
Elmeida Effendy
Keyword(s):  
Case Report ◽  
Self Control ◽  
Daily Activities ◽  
Psychosocial Stressors ◽  
Gaming Disorder ◽  
Behavioural Pattern ◽  
Social Distancing ◽  
Psychiatric Conditions ◽  
At Home

Background: Self-quarantine and social distancing are one of the numerous impacts of COVID-19 pandemic that leads individuals to spend much more time at home which in turn interestingly contributes to the increased number of gaming disorder cases. Gaming disorder is defined as a negative behavioural pattern that is characterized by excessive time spent on playing games and losing self-control in terms of playing games that causes neglect of other daily activities or interests. Case Report: We are reporting a case of gaming disorder in a 25-year-old man, D, through this COVID-19 pandemic. Conclusion: We suggest that there is an association between psychosocial stressors and environment with psychiatric conditions. Further study is recommended to more holistically understand this particular gaming disorder.

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