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.

Named-entity Recognition (NER) is an important area in the field of text information extraction. In recent years, several NER tools have emerged, each with its own methodologies to identify different entities and perform in several languages. These circumstances make it difficult for the user to determine the right tool for a specific application. Thus, it was proposed to evaluate NER technique via the SpaCy library, and an algorithm adapted to entity extraction (Levenshtein's Algorithm). This evaluation focused on the identification of location tags in Spanish-language texts. Based on the results, the appropriate method and the linked libraries or algorithms were obtained. This allowed to determine that, for this domain, the technique that presented the best metrics performance was SpaCy.

The correct development of crawl and gait in infants is vital for their motor development. The development of a crawl and gait stimulator, which can be used with infants from 6 months to 2 years old, is important as it might significantly improve the development of their motor skills. The objective of our crawl and gait stimulator was to encourage the development of motor skills in infants using visual incentives in an interactive manner. Here we introduce the design and construction of a crawl and gait stimulator that was tested with infants with gross motor skill disabilities (i.e. Down syndrome or cerebral palsy). This stimulator consists of an electromechanical system and a software controller. The electro-mechanical system is made of a compliant pad with several compression modules connected in sequence. We designed four independent compression sequences termed as path sequences. Each path sequence consisted of compression modules, and each module consisted of a 30 Newtons compression sensor developed in-house connected to eight LEDs. When one path sequence is activated, the infant crawled following it while turning the lights off as the infant compressed the sensors until the infant reached the end of the sequence. We found that the infants with motor system pathologies completed the path sequence in a significantly shorter time when the stimulator was activated. The stimulator completion time was compared to the time to complete the same path using traditional stimulation regimes. Our system proved to be an effective stimulation device to improve the skills of infants with motor skill pathologies in a fun, safe, and efficient manner.