ARIAL Workshop will be held in conjunction with the International Conference on Data Mining (ICDM-22)
According to a United Nations’ report on World Population Aging (2020), the number of people in the world aged 60 or over is projected to grow to 1.5 billion by the year 2050. Aging can come with various complexities and challenges, such as decline in the physical, cognitive and mental health of a person. These changes affect a person’s everyday life, resulting in decreased social participation, lack of physical activity, and vulnerability to injury and disability that can be exacerbated by the occurrence of various acute health events, such as strokes, or long term illnesses.
The field of assistive technology amalgamates several multi-disciplinary areas including data mining, rehabilitation engineering, and clinical studies. The idea of assistive technology solutions is to promote independent, active and healthy aging with a specific focus on older adults, and those living with mild cognitive impairments.
The COVID-19 pandemic has highlighted the challenges encountered by vulnerable populations in terms of not getting adequate care, difficulties in access to healthcare services and lack of necessary support to stay independent and safe. Many clinical treatments and rehabilitation services have gone virtual due to strict social distancing guidelines that have added more complexity to supporting the older population.
Collecting and mining health data using assistive technology devices is a challenging task. Leveraging Artificial Intelligence (AI) techniques is essential to make advancements in the field of aging and rehabilitation. Building AI models on vast amounts of health data from older adults will facilitate independent assisted living, promote healthy living, and manage rehabilitation routines effectively.
Previous ARIAL Workshops