###### Abstract  
The EYEFUL system represents a pioneering initiative designed to leverage multisensory systems for the automatic evaluation of functional ability and determination of dependency status in people performing activities of daily living. This interdisciplinary effort, bridging the gap between engineering and health sciences, aims to overcome the limitations of current evaluation tools, which often lack objectivity and fail to capture the full range of functional capacity. Until now, it has been derived from subjective reports and observational methods. By integrating wearable sensors and environmental technologies, EYEFUL offers an innovative approach to quantitatively assess an individual's ability to perform activities of daily living, providing a more accurate and unbiased evaluation of functionality and personal independence. This paper describes the protocol planned for the development of the EYEFUL system, from the initial design of the methodology to the deployment of multisensory systems and the subsequent clinical validation process. The implications of this research are far-reaching, offering the potential to improve clinical evaluations of functional ability and ultimately improve the quality of life of people with varying levels of dependency. With its emphasis on technological innovation and interdisciplinary collaboration, the EYEFUL system sets a new standard for objective evaluation, highlighting the critical role of advanced screening technologies in addressing the challenges of modern healthcare. We expect that the publication of the protocol will help similar initiatives by providing a structured approach and rigorous validation process. d 2024 16 April 2024 18 April 2024  
activities of daily living (IADLs), and advanced activities of daily living (AADLs) [2; 3]. BADLs are characterized by being related to basic human needs that are common to all populations and are linked to survival. IADLs are culturally biased, are linked to the environment, require greater cognitive and motor complexity, and involve interaction with the environment [4]. Furthermore, AADLs involve tasks related to the performance of social occupations such as leisure, community, religious, and work activities [3]. According to the conceptual framework of rehabilitation, dependency is defined as the permanent state of persons who, for reasons derived from age, illness, or disability, and linked to the lack or loss of physical, mental, intellectual, or sensory autonomy, require the attention of another person or persons or significant help to perform their basic activities of daily living or, in the case of persons with intellectual disabilities or mental illness, require other support for their personal autonomy [5; 6; 7]. Depending on each country, people with dependency receive a different level of social and/or economic support [7; 8]. In Europe, the receipt for support for dependency in the population over 65 years of age is, e.g., 11.3% in Spain, 23.4% in Switzerland, and 18.4% in Germany [9]. For the assessment of ability and dependence, several methods and tools exist [10]; however, none have been considered as the gold standard [5; 11]. These tools can be observational [12], self-administered, or hetero-administered instruments [13], or even involve interviews with family members and/or caregivers [14]. The scientific literature considers that the existing instruments for assessing functional capacities present practical limitations; since the information they detail is not related to the quality of performance [14], they require a long period of time for their administration and implicitly produce different biases [5; 13]. Certain biases exist due to subjectivity [11; 15], gender and cultural biases [16], evaluator bias [17], and respondent bias [5; 13]. In the case of personal interviews, a reliable source of information is required [18; 19]; self-administered instruments are subject to recall bias [17; 18; 20] and observational instruments may be adversely affected by observer interventions or biases [15].