The risk of falls in older adults restrict their social life and independent living. The assisted
living devices help older adults to live independently in their home, giving a psychological …

In recent decades, smart home technology has advanced, improving the well-being and
quality of life of its users. Thus, its applications have expanded, particularly in health and …

Falls are one of the greatest risks for older adults living alone at home. This paper presents a
novel visual-based fall detection approach to support independent living for older adults …

The research reported in this study investigates the use of machine learning algorithms that
receive real time sensory input from three-axis accelerometers and gyroscopes strategically …

Physically falling down amongst the elder helpless party is one of the most intractable issues
in the era of ageing society, which has attracted intensive attentions in academia ranging …

More than thirty percent of persons over 65 years fall at least once a year and are often not
able to get up again. Camera‐based fall detection systems can help by triggering an alarm …

A framework has been proposed for detecting fall actions from videos to solve the problem of
imbalance between fall action data and Activity of Daily Life (ADL) data. In the framework, a …

Peningkatan jumlah lansia di Indonesia cukup tinggi, suatu hal yang harus diperhatikan
adalah terdapat lansia yang tinggal sendiri tanpa ada keluarga di rumah. Hal ini memiliki …

In this thesis, we aim to study the problem of learning actions from videos by deep neural
networks that are trained with less or no manual labels, which belongs to unsupervised …

Indonesia has a high number of elderly people, who live alone without any family at home.
This matter has a high risk for elderly in biological aspect, in case something goes wrong …