Emerging hardware and software technologies have increased the development of technological solutions for people, particularly those focused on older adults' healthcare. Human-computer interaction is a research area that uses motion capture devices as input interaction devices, e.g., touch screen devices, wearables, eye trackers, and more. Numerous primary studies have provided support and training tools for older people with physical and cognitive diseases. However, there is a need for more secondary studies that systematically summarize and evidence these solutions. To address this gap, a systematic literature review was conducted to identify and interpret all studies from 2006 to 2023 that present human-computer techniques, motion capture devices, tools, and methodologies for older adults' physical and cognitive training and support. The review aims to answer the research question: "What devices and applications of Human-Computer Interaction (HCI) can be used to support the neuropsychological and motor condition of older adults?". The review identified 1140 potential papers from automatic searches in three digital libraries and manual searches in specialized journals and conferences. Three domain experts (computer engineer, electronics engineer, and psychologist) reviewed the papers based on inclusion and exclusion criteria and selected 79 papers for the review. Additionally, Fleiss' kappa measure was used to achieve agreement between raters. The results provide a comprehensive overview of the state of research in this area, which can assist researchers in identifying weaknesses, directing research efforts, and new research lines. Additionally, the results can serve as a reference guide for professionals in technical and health areas who can contribute to creating better and innovative solutions to aid the older population's physical and cognitive training and support.
