Several sensors are currently available with smart watches, bracelets, smartphones and other widely spread devices. Wearable devices and smartphones enable us to collect data that, when processed and analysed, can describe the person’s behaviour and activities. The “Quantified Self” concept describes the individual self-tracking of personal physical, biological, behavioural, medical, and environmental data. These solutions may support the acquisition of implicit parameters, without interfering with the person’s daily life, providing at the same time an estimation of her physiological and mental state.

Tons of data can be collected in one single day. However, they are completely useless if they are not related to the person’s lifestyle or behavior. Indeed, one key issue in wearable devices is the contextualization of the provided information.

These devices can assist people with mental illnesses or chronic diseases, as well as older people, making them more aware about their condition. At the same time, these tools can also detect specific behavioral patterns providing valuable information for the medical research and policy makers.

Ab.Acus’ mission is to translate robust and reliable technologies to the clinical environments, implementing them in the rehabilitative and assistive space. We have gained an extensive experience in collecting and contextualising data from wearable sensors to depict the full picture of a person’ lifestyle. Our team comprises experts in self-track technologies, with background in biomedicine, electronics, and informatics. We know how to provide new solutions to challenging problems, contributing to the advancement of the understanding of human behavior in real life settings.

Related Projects


The primary objective of the m-Resist project is to develop a therapeutic program that draws on the support of mobile devices to actively involve patients with treatment-resistant schizophrenia, to make them capable of self-managing their own illness, as well as to support their careers.


The main goal of the Clockwork project is to create a healthy and comfortable environment by supporting middle-aged to older adults in the improvement of their circadian rhythms. Particularly, the solution will target shift workers, such as healthcare professionals, who are greatly affected by chronodisruption, which can lead to health issues, long absences or early retirement.


We are surrounded by objects which drive and influence our behavior. An effective interaction with our external world play a key role in rehabilitation, a concept well known to behavioral sciences. The person-object interaction develops in an ecological environment where technology is fully transparent to the involved actors using smart objects.

Ab.Acus developed strong skills in the fields of wireless identification and sensing technologies, especially for rehabilitation application. Furthermore, Ab.Acus develops ad-hoc software packages for motion analysis in free environments. These applications range from the investigation of animals such as monkeys and dolphins in the field, to the study of babies in the womb and children with autism. We start by processing video images, and then we move to the computation of specific parameters, so as to get the full picture of some specific gestures which depict the individual and his/her social behaviors.

Our competencies in wireless identification and sensing technologies, video analysis and biomechanics, go hand in hand, yielding to a quantitative analysis of behavioral tasks.

These competencies play a key role in neuropsychology, rehabilitation, and assistive technologies, making it possible to quantify the patient’s behaviors and improvements individually.

Related Projects


The REWIRE project develops, integrates and field tests an innovative rehabilitation platform based on virtual reality. The platform allows patients, discharged by the hospital, to continue their intensive rehabilitation at home under remote monitoring by the hospital itself.


MUNDUS is an assistive framework for recovering direct interaction capability of severely motor impaired people based on arm reaching and hand function. MUNDUS uses any residual control of the end-user, thus it is suitable for long term utilization in daily activities.


The SMILING project has planned to diminish age related impairments by interfering with mobility disability and improving carry-over into real life situations. The new approach is intended to challenge the patient to solve new motor problems in real time by inducing variable environments that need active response and problem solving from the target population.


The FITREHAB project has integrated and field tested a new and innovative virtual reality based rehabilitation and training platform, which allow patients and medical discharged people to perform physical exercise at home under remote expert planning and monitoring.


A current vision in the area of ICT is the system integration approach between robotics devices, intelligent living environments, which can support novel service delivery models, including the integration of robots and home (indoor) sensor networks, as well as handling big data and data from Internet-of-Things (IoT) in the cloud.

With IoT and smart connected objects, Ab.Acus has a leading role in studying and solving some of issues related to future applications, to fully unlock their economic and societal value.

The new engine of economic and social value creation is the application of technologies and tools developed in real working scenario so far need to be demonstrated in controlled environments with the ultimate goal of validation.

Ab.Acus aims at validating IoT approaches to specific socio-economic challenges in real-life settings. In our studies, we always consider the user acceptability, the technology assessment and its optimisation, working in a close cooperation with users.

Our work is currently focused on the integration of smart objects, sensors, and platforms in home environment, with the aim of improving the quality of person’s life.

Related Projects


SocialCar is an Intelligent Transport System based on an innovative approach to transport demand management, and more specifically to carpooling in urban and peri-urban areas. SocialCar’s main objective is developing a new communication network for intelligent mobility, sharing information of car-pooling integrated with existing transport and mobility systems.

Happy Ageing

The goal HAPPY AGING is to counterbalance the limitations due to ageing and implement a system to monitor daily activities and support in everyday life. The main objectives are support independent living at home of elderly people, match demand of technology by elderly with the current supply of the market and develop and integrate a customizable system able to fulfill older people needs and expectations.


The human interface approach studies the design and use of computer technology, focusing in particular on the interfaces between people (users) and computers. This field of studies focus on the ways humans interact with computers and on the design of technologies that enable us to interact with computers in novel ways. This approach brings forward the concept of usability, applying it to complex tools that need to be moved out of scientific labs, to make them suitable for their full use in daily management and administration, paving the way to the innovative concept of “science usability”.

This approach works to translate complex mathematical and scientific methods and concepts to human-driven applications. Simulation and modelization techniques are needed to make multifaceted phenomena understandable by stakeholders and citizens. In turn, this helps overcoming the boundaries between erudite investigation techniques, characterised by not easily “accessible” methods and tools, and the citizens.

Ab.Acus is strongly oriented to improve accessibility and usability of the most common devices, searching for the effective integration of customized interfaces. Our aim is to exploit mainstream technologies, tailoring them on the specific requests of users.

Related Projects


SocialCar is an Intelligent Transport System based on an innovative approach to transport demand management, and more specifically to carpooling in urban and peri-urban areas. SocialCar’s main objective is developing a new communication network for intelligent mobility, sharing information of car-pooling integrated with existing transport and mobility systems.


Abram is a complete amagnetic hardware and software system for the supplying of motor stimula in MRI environment. Abram is a motorised circular table used to administer to a subject lying in MRI machines stimula (objects) to be grasped in three different masked position.


Videotrack is a software package for the motion analysis of persons, animals or objects in any videoclip. It allows to cut time selections of the whole videoclip and examine the movement of interesting landmarks.


Ab.Acus’ vocation includes the role as bridge-builder among STEMM and SSH disciplines (“Science, Technology, Engineering, Mathematics and Medicine” and “Social Sciences and Humanities”, respectively).

The advent of new technologies should be driven by a responsible ICT research and innovation.

Education is a key element in this cultural journey. The relationship between new technologies and learning is a key element in many of the latest research projects Ab.Acus

The advent of new digital technology and social media is fundamentally reshaping the way we live and learn: their combination with technologies such as 3D printers, Do-It-Yourself electronics (such as Arduino, Raspberry Pi or Galileo) can create physical outputs with huge consequences on education.

Ab.Acus’ staff comprises a variety of expertise, from electronic engineering to educational science, to communication science and gender studies, able to describe current and future trends in order to develop a research driven by SSH disciplines.

Related Projects


The REELER project aims at aligning the roboticists’ visions of a future with robots with empirically-based knowledge of human needs and societal concerns. It will offer proactive steps towards ethical and responsible robots by suggesting radical changes in current robot design procedures.


DiDIY Project intends to develop a human-centric and multi-perspective approach to the scientific study of the transformations generated by the increasing social adoption of atoms-bits convergence (ABC) devices.