## 1 Introduction  
The availability of easy-to-use devices and smart platforms enables individuals to monitor their activities and act proactively to prevent health problems, which can mitigate the risk of severe health complications. Integrating technology in health management may reduce the costs of treatment, detect different conditions in early stages, and improve life quality [1]. Life expectancy has doubled from 1900 to the present [2], leading to an exponential ageing of the population, making frailty one of the most concerning subjects related to geriatric medicine [3]. As [PERSON] et al. [4] described, this condition can be synonymous with disability, comorbidity, and is highly prevalent in old age, conferring a high risk of disability, hospitalization, and mortality. Frailty is classified as a syndrome that can be prevented or treated if detected in its early stages [5], but it is also an important component of decision making and effectively prevents and treats perioperative complications in elderly patients [6]. The scientific literature emphasizes that frailty is a geriatric syndrome in which there is a notable decrease in the body's ability to function across various organ systems, leading to a higher chance of health problems. Studies demonstrate that frail older people have a significantly increased risk of death compared to non-frail ones. The risk of death is even higher for frail older people who have multiple chronic conditions. Frail older people should be identified and targeted with personalized interventions that may reduce their risk of death [7]. Chronic diseases, such as diabetes, hypertension, and heart disease, can contribute to frailty, as can medication side effects, sleep disturbances, and social isolation [8]. Frailty management may benefit from software-driven detection approaches, enhancing early detection, targeting a wider audience by modern day devices and technology usage. [PERSON] et al. [9] discussed the need for better coordination among healthcare professionals, patients, and caregivers and introduced a digital platform leveraging innovative tools and artificial intelligence technologies to facilitate the coordination. [PERSON] et al. [10] analyzed the potential of ambient assisted living (AAL) technologies to support aging in place for frail older adults, to prevent autonomy loss and institutionalization. Their research shows that this technology can improve daily life, reduce hospital visits, and support mental health by meeting the specific needs of older adults. [PERSON] et al. [11] developed and tested a sensor-based system to monitor frailty at home. Their found that the early detection of frailty is crucial, and many of the sensors used were reliable, except for the smart weight scale. This article describes a functional system prototype, Frailty Insights Detection System (FIDS), using the following parameters: physical activity, energy expenditure, unintentional weight loss, exhaustion, sedentary behavior, steps history, heart rate variation, and body mass index. The main motivation for this new approach is to develop a system that is easy to use, non-intrusive, and based on objective parameters that can be determined by using a smart device's sensors, to avoid as much as possible subjective input, but without affecting scientific reliability. The functional system prototype integrates various key parameters that have been linked with frailty in academic studies. Through advanced sensor technology, data analysis algorithms, and user-friendly interfaces, the system is addressed to both healthcare professionals and individuals to assess and monitor frailty-related factors comprehensively, in an objective manner. The entire process follows a meticulous and systematic approach, starting with a user requirements questionnaire, followed by the system design and system development phases. The paper has the following structure: Section 2 describes the most common frailty detection methodologies and presents a comparison in terms of the used parameters.