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Training machine learning models to identify human behavior is a difficult yet essential task to develop autonomous and adaptive systems such as smart homes. These models require large and diversified amounts of labeled data to be trained effectively. Due ...

In Japan, the demographic shift towards an older population presents significant challenges, particularly in elderly care. Early detection of frality---a precursor to more severe dependency---is essential for maintaining health in older adults. This ...

The past several decades have seen significant advances in monitoring older adults' health and well-being. However, creating viable, practical monitoring systems for informing caregivers requires understanding which behaviors and signs to track and what ...

Human activity recognition (HAR) has become a focus of study over the past few years. It is widely used in many fields like health, home safety, security, and energy saving, among others. Research around the health area has evidenced an important ...

Research and development in the area of Ambient Assisted Living has been undertaken for many years. The aim of Ambient assisted Living is to manage the risks due to aging and living alone so that the older person can remain in their familiar home ...

Fall detection plays an essential part in the healthcare monitoring system and also helps the elderly and disabled people. In this paper, authors have proposed a methodology for an efficient detection of automatic fall, which can perceive every possible ...

In recent years, lower limb walking exoskeletons have been widely used in the study of spinal cord injury (SCI).

To explore the effect of a lower limb walking exoskeleton on quality of life and functional independence in ...

A computer vision system using low-resolution image sensors can provide intelligent services (e.g., activity recognition) but preserve unnecessary visual privacy information from the hardware level. However, preserving visual privacy and enabling ...

Advances in the area of ubiquitous computing have paved the way for a plethora of mobile applications operating in smart devices that aim to assist various aspects of everyday life. In the context of human-environment interaction in smart homes, remote ...

Smart support systems for the recognition of Activities of Daily Living (ADLs) can help elderly people live independently for longer improving their standard of living. Many machine learning approaches have been proposed lately for Human Activity ...

With the ever increasing elderly population, human activity trackers can help monitor the daily physical activities performed by the elderly in order to contribute towards improvements in independent living and quality of life.

Little activity ...

Impaired hand function impacts many stroke patients’ daily lives, leading to a lack of independence and difficulty in performing activities of daily living (ADL). There are various assistive devices and interactive exercise monitoring systems that aim to ...

African Americans living with dementia are considered less likely to seek formal institutionalized elder care and more likely to be managed in the home by family-member caregivers. Assistive technologies (the use of ...

The scientific contribution of this work to address multiple global societal and economic challenges associated with the increasing aging population is primarily two-fold. First, it presents and discusses a new computing methodology - Pervasive Activity ...

The aging population brings the problem of healthcare and dyskinesia. The lack of mobility extremely affects stroke patient’s activities of daily living (ADL) and decreases their quality of life. To assist these ...

Data collected from smart electricity meters have been shown to contain a wealth of information. Through the application of algorithms for load disaggregation, it is possible to identify the contributions of individual appliances to the electricity bill ...

The recognition of human activities of daily living has gained increasing attention in recent years due to its potential to promote autonomy for elderly people in their own homes and its usage for security surveillance in scenarios such as supermarkets, ...

The falling accident is one of the largest threats to human health, which leads to broken bones, head injury, or even death. Therefore, automatic human fall recognition is vital for the Activities of Daily Living (ADL). In this paper, we try to define ...

Children with autism have fine-motor coordination problems, which have a significant impact on the execution of activities of daily living. To practice their fine-motor coordination skills, they attend occupational therapy, which involves repetitive ...