scholarly journals Predicting Activities of Daily Living with Spatio-Temporal Information

2020 ◽  
Vol 12 (12) ◽  
pp. 214
Author(s):  
Sook-Ling Chua ◽  
Lee Kien Foo ◽  
Hans W. Guesgen
Keyword(s):  
Activities Of Daily Living ◽  
Activity Recognition ◽  
Daily Living ◽  
Independent Living ◽  
Smart Home ◽  
Contextual Information ◽  
Smart Homes ◽  
The Elderly ◽  
Temporal Information ◽  
User Activities

The smart home has begun playing an important role in supporting independent living by monitoring the activities of daily living, typically for the elderly who live alone. Activity recognition in smart homes has been studied by many researchers with much effort spent on modeling user activities to predict behaviors. Most people, when performing their daily activities, interact with multiple objects both in space and through time. The interactions between user and objects in the home can provide rich contextual information in interpreting human activity. This paper shows the importance of spatial and temporal information for reasoning in smart homes and demonstrates how such information is represented for activity recognition. Evaluation was conducted on three publicly available smart-home datasets. Our method achieved an average recognition accuracy of more than 81% when predicting user activities given the spatial and temporal information.

Integrated Sensing Techniques for Assistive Chairs

2013 ◽  
Vol 3 (4) ◽  
pp. 58-70
Author(s):  
Hang Lu ◽  
Dayou Li ◽  
John Oyekan ◽  
Carsten Maple
Keyword(s):  
Older People ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Independent Living ◽  
Premature Death ◽  
The Elderly ◽  
Assistive Devices ◽  
Sit To Stand ◽  
Standing Up ◽  
Elderly Mobility

This paper presents a survey of the contemporary assistive chairs and on-chair sensing approaches of capturing sit-to-stand (STS) movement. Sitting in a chair and standing up from a seated position are activities of daily living (ADLs) performed by humans. However, older people often encounter difficulties with these activities. These difficulties may cause substantial decreasing of the elderly mobility, leading to inactive participation in social activities and increasing the risk of chronic diseases that may cause premature death. Therefore, assisting older people to overcome these difficulties has significance for their independent living. At present, the assistive devices can be allocated in terms of market available ones and experimental prototypes, both of which are discussed here. Afterwards, the authors cast more light on integrated sensing techniques that are currently used with experimental prototypes and create a taxonomy of sensing techniques. Following from this survey, a chair capable of delivering assistance-as-needed is proposed.

Comprehensive Ontological Model for Senior Wellness Activity Recognition in Smart Homes

2020 ◽  
pp. 148-167
Author(s):  
Hajar Khallouki ◽  
Rachid Benlamri ◽  
Abdulsalalm Yassine
Keyword(s):  
Activity Recognition ◽  
Smart Home ◽  
Environmental Parameters ◽  
Smart Homes ◽  
Well Being ◽  
The Elderly ◽  
Patient Profile ◽  
Ontological Model ◽  
Watching Tv ◽  
Lying Down

There are several works in the field of smart homes for healthcare, with different types of sensors used to monitor medical, behavioral and environmental parameters for patients. In the context of smart home for the elderly, the use of sensors needs to be adapted to respect the privacy of elders and to work passively without the need for caregiver assistance. Most research in this area focused on activity recognition (e.g. eating, sleeping, watching TV, etc.) which may be defined as the identification of a sequence of actions (e.g. using microwave, lying down, etc.). In this chapter, we propose a comprehensive ontological model for well-being activity recognition in smart home. Our approach takes into account different aspects of the well-being context such as patient profile, object being used to perform the activity, the time of running the activity, its location, etc. In order to validate the proposed ontology and reason on it, we perform a set of queries and inference rules.

scholarly journals A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6037 ◽  
Author(s):  
Damien Bouchabou ◽  
Sao Mai Nguyen ◽  
Christophe Lohr ◽  
Benoit LeDuc ◽  
Ioannis Kanellos
Keyword(s):  
Activity Recognition ◽  
Human Activity ◽  
Smart Home ◽  
Smart Homes ◽  
The Elderly ◽  
Human Activity Recognition ◽  
Challenges And Opportunities ◽  
The Cost ◽  
Home Assistance

Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of sensors have encouraged the development of smart environments, such as smart homes. Smart homes can offer home assistance services to improve the quality of life, autonomy, and health of their residents, especially for the elderly and dependent. To provide such services, a smart home must be able to understand the daily activities of its residents. Techniques for recognizing human activity in smart homes are advancing daily. However, new challenges are emerging every day. In this paper, we present recent algorithms, works, challenges, and taxonomy of the field of human activity recognition in a smart home through ambient sensors. Moreover, since activity recognition in smart homes is a young field, we raise specific problems, as well as missing and needed contributions. However, we also propose directions, research opportunities, and solutions to accelerate advances in this field.

scholarly journals UCAmI Cup. Analyzing the UJA Human Activity Recognition Dataset of Activities of Daily Living

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1267 ◽  
Author(s):  
Macarena Espinilla ◽  
Javier Medina ◽  
Chris Nugent
Keyword(s):  
Activities Of Daily Living ◽  
Activity Recognition ◽  
Human Activity ◽  
Daily Living ◽  
Human Activity Recognition ◽  
Proximity Data ◽  
Location Data ◽  
Smart Watch ◽  
Real World Applications ◽  
Tools And Techniques

Many real-world applications, which are focused on addressing the needs of a human, require information pertaining to the activities being performed. The UCAmI Cup is an event held within the context of the International Conference on Ubiquitous Computing and Ambient Intelligence, where delegates are given the opportunity to use their tools and techniques to analyse a previously unseen human activity recognition dataset and to compare their results with others working in the same domain. In this paper, the human activity recognition dataset used relates to activities of daily living generated in the UJAmI Smart Lab, University of Jaén. The dataset chosen for the first edition of the UCAmI Cup represents 246 activities performed over a period of ten days carried out by a single inhabitant. The dataset includes four data sources: (i) event streams from 30 binary sensors, (ii) intelligent floor location data, (iii) proximity data between a smart watch worn by the inhabitant and 15 Bluetooth Low Energy beacons and (iv) acceleration of the smart watch. In this first edition of the UCAmI Cup, 26 participants from 10 different countries contacted the organizers to obtain the dataset.‬‬‬‬‬

scholarly journals Functional capability and violence situations against the elderly

2014 ◽  
Vol 27 (5) ◽  
pp. 392-398 ◽  
Author(s):  
Andréa Mathes Faustino ◽  
Lenora Gandolfi ◽  
Leides Barroso de Azevedo Moura
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Physical Violence ◽  
The Elderly ◽  
Population Based ◽  
Cross Sectional Study ◽  
Functional Capability ◽  
Cross Sectional ◽  
Daily Lives ◽  
Partial Dependence

Objective To verify whether there is a connection between the functional capacity of the elderly and the presence of violent situations in their daily lives. Methods A population-based cross-sectional study developed with 237 elderly individuals. Standard and validated research instruments were used. Results Mean age of 70.25 years (standard deviation of 6.94), 69% were female, 76% were independent in basic activities of daily living and 54% had a partial dependence on at least one instrumental activity. The most prevalent violence was psychological and the relation between being dependent on basic activities of daily living and suffering physical violence was statistically significant. Conclusion When the elderly needs assistance to perform self-care activities, there is a greater chance of exposure to a situation of abuse, such as physical violence.

scholarly journals Mild cognitive impairment in the elderly Relationship between communication and functional capacity

2018 ◽  
Vol 12 (2) ◽  
pp. 165-172 ◽  
Author(s):  
Ana Iza Gomes da Penha Sobral ◽  
Cláudia Marina Tavares de Araújo ◽  
Marcos Felipe Falcão Sobral
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Activities Of Daily Living ◽  
Elderly People ◽  
Communication Skills ◽  
Social Communication ◽  
Daily Living ◽  
The Elderly ◽  
Intermediate Form ◽  
Instrumental Activities

Abstract Mild Cognitive Impairment is characterized as an intermediate form between age-related change and dementia. For the elderly, autonomy and independence are related to the ability to remain active in conducting their social activities and, for this to occur, communication is fundamental in this process. Objective: To assess the association between communication and the abilities of elderly people with mild cognitive impairment to perform instrumental activities of daily living. Methods: A cross-sectional, quantitative, analytical, correlational study was conducted at the Open University of the Third Age (UnATI), a program of the Federal University of Pernambuco. This study included 92 people, comprising 46 elderly with mild cognitive impairment and a caregiver or family member who met the inclusion criteria. The elderly were asked to complete a sociodemographic questionnaire and Lawton-Brody’s Instrumental Activities of Daily Living Scale. The caregivers were asked to complete the Functional Assessment of Communication Skills. The following variables were studied: social communication skills and instrumental activities of daily living. Data were stored in an Excel® 2007 spreadsheet, and the Pearson correlation test was used for the statistical analysis. Results: There were statistically significant correlations in four domains of social communication: referring to family members by name (p=0.0033); requesting information about people or events (p=0.0355); understanding conversations in a noisy environment (p=0.0448); and understanding what they watch on television or listen to on the radio (p=0.0127). Conclusion: Changes in the communication of elderly people with mild cognitive impairment interfere with their ability to perform instrumental activities autonomously and independently.

scholarly journals FUNCTIONAL ASSESSMENT OF OLDER OBESE PATIENTS CANDIDATES FOR BARIATRIC SURGERY

2014 ◽  
Vol 51 (1) ◽  
pp. 25-28 ◽  
Author(s):  
Denis PAJECKI ◽  
Marco Aurélio SANTO ◽  
Ana Lumi KANAGI ◽  
Daniel RICCIOPPO ◽  
Roberto de CLEVA ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Bariatric Surgery ◽  
Activities Of Daily Living ◽  
Functional Assessment ◽  
Daily Living ◽  
Functional Decline ◽  
The Elderly ◽  
Obese Patients ◽  
Instrumental Activities

Context Obesity in the elderly is associated with exacerbation of functional decline (dependency), that occurs with aging, because of decreased muscle mass and strength, and increased joint dysfunction. Consequently, there is progressive loss of independence, autonomy, chronic pain and impaired quality of life. The weight loss can bring benefits in all these aspects, especially when accompanied by exercises. Elderly patients with morbid obesity may be submitted to surgical treatment, taking into account that the massive weight loss, eventually caused by bariatric surgery, may exacerbate the loss of muscle mass and nutritional complications that may bring harm to the overall health and quality of life of these patients. The functional assessment of elderly patients, candidates for bariatric surgery and the extent to which surgery can bring benefits to the patients, in the field of functionality, has still to be determined. Objective To describe profile functionality in obese elderly referred to a bariatric surgery program. Methods Patients with age ≥60 and BMI ≥35 underwent comprehensive geriatric assessment that evaluates co morbidities, medication use, ability to perform basic activities of daily living and instrumental activities of daily living, and the “Timedupandgo” test to evaluate mobility, whose cut-off point was ≤10 seconds. Statistical analysis was performed in order to see if there is a positive correlation of dependency with BMI and age (over or under 65 years). Results Forty subjects have completed evaluation. The mean age was 64.1 years (60-72) and 75% were women. They had an average weight of 121.1 kg (72.7-204) and a mean BMI of 47.2 kg/m2 (35.8-68.9). 16 patients (40%) have shown dependency for activities of daily living, 19 (47,5%) for instrumental activities of daily living and 20 patients (50%) had a “Timedupandgo” test over 10 seconds. Statistical analysis (t-Student, Mann-Whitney, Binary Logistic Regression) has shown positive correlation of dependency in activities of daily living for BMI >49 kg/m2, dependency in instrumental activities of daily living for BMI >46,5 kg/m2, and “Timedupandgo” test greater than 10 seconds for BMI >51 kg/m2 (P<0,05). No dependency difference was observed for patients over or under 65 years age. Conclusions Functional decline is observed in almost half of the morbid obese patients over 60 years old. It is related to increasing BMI (BMI >46,5 kg/m2) but not related to age (60 to 65 years or over 65 years). Functional decline should be considered a co-morbidity in the elderly obese patients and should be assessed before bariatric surgery in this population.

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