Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions.

Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and cognition, and do not address the multifactorial nature of falls. In addition, these systems lack efficient user interfaces and feedback for preventing future falls. Recent advances in internet of things (IoT) and mobile technologies offer ample opportunities for integrating contextual information about patient behavior and environment along with physiological health data for predicting falls. This article reviews the state-of-the-art in fall detection and prediction systems. It also describes the challenges, limitations, and future directions in the design and implementation of effective fall prediction and prevention systems

Robotic and Sensor Technologies for Mobility in Older People

Maintaining independent mobility is fundamental to independent living and to the quality of life of older people. Robotic and sensor technologies may offer a lot of potential and can make a significant difference in the lives of older people and to their primary caregivers. The aim of this study was to provide a presentation of the methods that are used up till now for analysis and evaluation of human mobility utilizing sensor technologies and to give the state of the art in robotic platforms for supporting older people with mobility limitations. The literature was reviewed and systematic reviews of cohort studies and other authoritative reports were identified. The selection criteria included (1) patients with age â\u89¥60 years; (2) patients with unstable gait, with or without recurrent falls; (3) patients with slow movements, short strides, and little trunk movement; (4) sensor technologies that are currently used for mobility evaluation; and (5) robotic technologies that can serve as a supporting companion for older people with mobility limitations. One hundred eighty-one studies published up until February 2017 were identified, of which 36 were included. Two categories of research were identified from the review regarding the robot and sensor technologies: (1) sensor technologies for mobility analysis and (2) robots for supporting older people with mobility limitations. Potential for robotic and sensor technologies can be taken advantage of for evaluation and support at home for elder persons with mobility limitations in an automated way without the need of the physical presence of any medical personnel, reducing the stress of caregivers

A Qualitative Study on Co-designing a Domestic Robot with Senior People: Attitudinal Differences Among the Profiles of Boomers and the Silent Generation

L'integrazione dei robot domestici nella vita degli anziani riflette una possibile soluzione per fornire un'adeguata assistenza a una popolazione sempre più anziana. Tuttavia, non è ancora ben chiaro come gli anziani percepiscano i robot domestici e se siano effettivamente disposti ad adottarli nelle loro case. Questo articolo analizza gli atteggiamenti degli anziani nei confronti dei robot domestici, mostrando i risultati di uno studio qualitativo condotto durante un'esperienza di co-progettazione di un robot prototipo, su un campione sociologico di 30 ultrasessantacinquenni residenti a Genova, in Italia. I risultati mostrano come gli atteggiamenti nei confronti del robot differiscono a causa di caratteristiche individuali e strutturali, ma soprattutto per fattori generazionali e culturali, in particolare tra i baby boomer più giovani e gli intervistati più anziani. In conclusione, il nostro studio fornisce suggerimenti interessanti per progettisti e ingegneri per considerare le differenze generazionali come fattori predittivi di accettazione dei robot domestici da parte degli utenti senior.Integrating domestic robots into the lives of older adults reflects a possible solution to provide adequate caregiving to an increasingly ageing population. Still, it is unclear how older adults perceive domestic robots and whether they are willing to adopt them into their homes. This paper analyses the attitudes of older adults towards domestic robots by proving the results of a qualitative study conducted during an experience of co-designing a robotic prototype, addressing 30 community-dwelling over-65s who are residents in Genoa, Italy. Our results show how attitudes toward the robot differ both due to individual and structural characteristics, but especially owing to generational and cultural factors, particularly between younger-old Baby Boomers and older old respondents. In conclusion, our study provides interesting suggestions for designers and engineers to consider generational differences as predictive factors of acceptance of domestic robots by senior end-users

State of the art of audio- and video based solutions for AAL

Working Group 3. Audio- and Video-based AAL ApplicationsIt is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living (AAL) technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred to as the use of innovative and advanced Information and Communication Technologies to create supportive, inclusive and empowering applications and environments that enable older, impaired or frail people to live independently and stay active longer in society. AAL capitalizes on the growing pervasiveness and effectiveness of sensing and computing facilities to supply the persons in need with smart assistance, by responding to their necessities of autonomy, independence, comfort, security and safety. The application scenarios addressed by AAL are complex, due to the inherent heterogeneity of the end-user population, their living arrangements, and their physical conditions or impairment. Despite aiming at diverse goals, AAL systems should share some common characteristics. They are designed to provide support in daily life in an invisible, unobtrusive and user-friendly manner. Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs. Nevertheless, to ensure the uptake of AAL in society, potential users must be willing to use AAL applications and to integrate them in their daily environments and lives. In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness. Indeed, cameras and microphones are far less obtrusive with respect to the hindrance other wearable sensors may cause to one’s activities. In addition, a single camera placed in a room can record most of the activities performed in the room, thus replacing many other non-visual sensors. Currently, video-based applications are effective in recognising and monitoring the activities, the movements, and the overall conditions of the assisted individuals as well as to assess their vital parameters (e.g., heart rate, respiratory rate). Similarly, audio sensors have the potential to become one of the most important modalities for interaction with AAL systems, as they can have a large range of sensing, do not require physical presence at a particular location and are physically intangible. Moreover, relevant information about individuals’ activities and health status can derive from processing audio signals (e.g., speech recordings). Nevertheless, as the other side of the coin, cameras and microphones are often perceived as the most intrusive technologies from the viewpoint of the privacy of the monitored individuals. This is due to the richness of the information these technologies convey and the intimate setting where they may be deployed. Solutions able to ensure privacy preservation by context and by design, as well as to ensure high legal and ethical standards are in high demand. After the review of the current state of play and the discussion in GoodBrother, we may claim that the first solutions in this direction are starting to appear in the literature. A multidisciplinary 4 debate among experts and stakeholders is paving the way towards AAL ensuring ergonomics, usability, acceptance and privacy preservation. The DIANA, PAAL, and VisuAAL projects are examples of this fresh approach. This report provides the reader with a review of the most recent advances in audio- and video-based monitoring technologies for AAL. It has been drafted as a collective effort of WG3 to supply an introduction to AAL, its evolution over time and its main functional and technological underpinnings. In this respect, the report contributes to the field with the outline of a new generation of ethical-aware AAL technologies and a proposal for a novel comprehensive taxonomy of AAL systems and applications. Moreover, the report allows non-technical readers to gather an overview of the main components of an AAL system and how these function and interact with the end-users. The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted. The report ends with an overview of the challenges, the hindrances and the opportunities posed by the uptake in real world settings of AAL technologies. In this respect, the report illustrates the current procedural and technological approaches to cope with acceptability, usability and trust in the AAL technology, by surveying strategies and approaches to co-design, to privacy preservation in video and audio data, to transparency and explainability in data processing, and to data transmission and communication. User acceptance and ethical considerations are also debated. Finally, the potentials coming from the silver economy are overviewed.publishedVersio

Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns

Background: Ambient assisted living (AAL) is a common name for various artificial intelligence (AI)—infused applications and platforms that support their users in need in multiple activities, from health to daily living. These systems use different approaches to learn about their users and make automated decisions, known as AI models, for personalizing their services and increasing outcomes. Given the numerous systems developed and deployed for people with different needs, health conditions, and dispositions toward the technology, it is critical to obtain clear and comprehensive insights concerning AI models used, along with their domains, technology, and concerns, to identify promising directions for future work. Objective: This study aimed to provide a scoping review of the literature on AI models in AAL. In particular, we analyzed specific AI models used in AАL systems, the target domains of the models, the technology using the models, and the major concerns from the end-user perspective. Our goal was to consolidate research on this topic and inform end users, health care professionals and providers, researchers, and practitioners in developing, deploying, and evaluating future intelligent AAL systems. Methods: This study was conducted as a scoping review to identify, analyze, and extract the relevant literature. It used a natural language processing toolkit to retrieve the article corpus for an efficient and comprehensive automated literature search. Relevant articles were then extracted from the corpus and analyzed manually. This review included 5 digital libraries: IEEE, PubMed, Springer, Elsevier, and MDPI. Results: We included a total of 108 articles. The annual distribution of relevant articles showed a growing trend for all categories from January 2010 to July 2022. The AI models mainly used unsupervised and semisupervised approaches. The leading models are deep learning, natural language processing, instance-based learning, and clustering. Activity assistance and recognition were the most common target domains of the models. Ambient sensing, mobile technology, and robotic devices mainly implemented the models. Older adults were the primary beneficiaries, followed by patients and frail persons of various ages. Availability was a top beneficiary concern. Conclusions: This study presents the analytical evidence of AI models in AAL and their domains, technologies, beneficiaries, and concerns. Future research on intelligent AAL should involve health care professionals and caregivers as designers and users, comply with health-related regulations, improve transparency and privacy, integrate with health care technological infrastructure, explain their decisions to the users, and establish evaluation metrics and design guidelines. Trial Registration: PROSPERO (International Prospective Register of Systematic Reviews) CRD42022347590; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022347590This work was part of and supported by GoodBrother, COST Action 19121—Network on Privacy-Aware Audio- and Video-Based Applications for Active and Assisted Living

Nutzerorientierte Evaluation zweier altersgerechter Assistenzroboter zur Unterstützung von Alltagsaktivitäten („Ambient Assisted Living-Roboter“) bei älteren Menschen mit funktionellen Einschränkungen: MOBOT-Rollator und I-SUPPORT-Duschroboter

Ziel der vorliegenden Arbeit ist die nutzerorientierte Evaluation zweier Prototypen für altersgerechte Assistenzroboter zur Unterstützung von Alltagsaktivitäten („Ambient Assisted Living“ [AAL]-Roboter) bei älteren Menschen mit funktionellen Einschränkungen. Bei den Prototypen handelt es sich dabei um (1) einen robotergestützten Rollator zur Unterstützung der Mobilität (MOBOT) und (2) einen Assistenzroboter zur Unterstützung von Duschaktivitäten (I-SUPPORT). Manuskript I dokumentiert eine systematische Literaturanalyse des methodischen Vorgehens bisheriger Studien zur Evaluation robotergestützter Rollatoren aus der Nutzerperspektive. Die meisten Studien zeigen erhebliche methodische Mängel, wie unzureichende Stichprobengrößen/-beschreibungen; Teilnehmer nicht repräsentativ für die Nutzergruppe der robotergestützten Rollatoren; keine geeigneten, standardisierten und validierten Assessmentmethoden und/oder keine Inferenzstatistik. Ein generisches methodisches Vorgehen für die Evaluation robotergestützter Rollatoren konnte nicht identifiziert werden. Für die Konzeption und Durchführung zukünftiger Studien zur Evaluation robotergestützter Rollatoren, aber auch anderer AAL-Systeme werden in Manuskript I abschließend Handlungsempfehlungen formuliert. Manuskript II analysiert die Untersuchungsergebnisse der in Manuskript I identifizierten Studien. Es zeigen sich sehr heterogene Ergebnisse hinsichtlich des Mehrwerts der innovativen Assistenzfunktionen von robotergestützten Rollatoren. Im Allgemeinen werden sie jedoch als positiv von den Nutzern wahrgenommen. Die große Heterogenität und methodischen Mängel der Studien schränken die Interpretierbarkeit ihre Untersuchungsergebnisse stark ein. Insgesamt verdeutlicht Manuskript II, dass die Evidenz zur Effektivität und positiven Wahrnehmung robotergestützter Rollatoren aus der Nutzerperspektive noch unzureichend ist. Basierend auf den Erkenntnissen und Handlungsempfehlungen der systematischen Literaturanalysen aus Manuskript I und II wurden die nutzerorientierten Evaluationsstudien des MOBOT-Rollators konzipiert und durchgeführt (Manuskript III-VI). Manuskript III überprüft die Effektivität des in den MOBOT-Rollator integrierten Navigationssystems bei potentiellen Nutzern (= ältere Personen mit Gangstörungen bzw. Rollator als Gehhilfe im Alltag). Es liefert erstmals einen statistischen Nachweis dafür, dass eine solche Assistenzfunktion effektiv ist, um die Navigationsleistung der Nutzer (z. B. geringer Stoppzeit, kürzere Wegstrecke) – insbesondere derjenigen mit kognitiven Einschränkungen – in einem realitätsnahen Anwendungsszenario zu verbessern. Manuskript IV untersucht die konkurrente Validität des MOBOT-integrierten Ganganalysesystems bei potentiellen Nutzern. Im Vergleich zu einem etablierten Referenzstandard (GAITRite®-System) zeigt es eine hohe konkurrente Validität für die Erfassung zeitlicher, nicht jedoch raumbezogener Gangparameter. Diese können zwar ebenfalls mit hoher Konsistenz gemessen werden, aber lediglich mit einer begrenzten absoluten Genauigkeit. Manuskript V umfasst die nutzerorientierte Evaluation der im MOBOT-Rollator integrierten Assistenzfunktion zur Hindernisvermeidung und belegt erstmals die Effektivität einer solchen Funktionen bei potentiellen Nutzern. Unter Verwendung des für den MOBOT-Rollator neu entwickelten technischen Ansatzes für die Hindernisvermeidung zeigten die Teilnehmer signifikante Verbesserungen bei der Bewältigung eines Hindernisparcours (weniger Kollisionen und geringere Annäherungsgeschwindigkeit an die Hindernisse). Manuskript VI dokumentiert die Effektivität und Zufriedenheit mit der Aufstehhilfe des MOBOT-Rollators von potentiellen Nutzern. Es wird gezeigt, dass die Erfolgsrate für den Sitzen-Stehen-Transfer älterer Personen mit motorischen Einschränkungen durch die Aufstehhilfe signifikant verbessert werden kann. Die Ergebnisse belegen zudem eine hohe Nutzerzufriedenheit mit dieser Assistenzfunktion, insbesondere bei Personen mit höherem Body-Mass-Index. Manuskript VII untersucht die Mensch-Roboter-Interaktion zwischen dem I-SUPPORT-Duschroboter und seiner potentiellen Nutzer (= ältere Personen mit Problemen bei Baden/Duschen) und überprüft deren Effektivität sowie Zufriedenheit mit drei unterschiedlich autonomen Betriebsmodi. Die Studienergebnisse dokumentieren, dass sich mit zunehmender Kontrolle des Nutzers (= abnehmende Autonomie des Duschroboters) nicht nur die Effektivität für das Abduschen eines definierten Körperbereichs verringert, sondern auch die Nutzerzufriedenheit sinkt. Manuskript VIII umfasst die Evaluation eines spezifischen Nutzertrainings auf die gestenbasierte Mensch-Roboter-Interaktion mit dem I-SUPPORT-Duschroboter. Es wird gezeigt, dass ein solches Training die Ausführung der Gesten potentieller Nutzer und sowie die Gestenerkennungsrate des Duschroboters signifikant verbessern, was insgesamt auf eine optimierte Mensch-Roboter-Interaktion in Folge des Trainings schließen lässt. Teilnehmer mit der schlechtesten Ausgangsleistung in der Ausführung der Gesten und mit der größten Angst vor Technologien profitierten am meisten vom Nutzertraining. Insgesamt belegen die Studienergebnisse zur nutzerorientierten Evaluation des MOBOT-Rollators die Effektivität und Gültigkeit seiner innovativen Teilfunktionen. Sie weisen auf ein hohes Potential der Assistenzfunktionen (Navigationssystem, Hindernisvermeidung, Aufstehhilfe) zur Verbesserung der Mobilität älterer Menschen mit motorischen Einschränkungen hin. Vor dem Hintergrund der methodischen Mängel und unzureichenden evidenzbasierten Datenlage hierzu, liefert diese Dissertationsschrift erstmals statistische Belege für den Mehrwert solcher Teilfunktionen bei potentiellen Nutzern und leistet somit einen wichtigen Beitrag zur Schließung der bisherigen Forschungslücke hinsichtlich des nutzerorientierten Wirksamkeits- und Gültigkeitsnachweises robotergestützter Rollatoren und ihrer innovativen Teilfunktionen. Die Ergebnisse der Studien des I-SUPPORT-Duschroboters liefern wichtige Erkenntnisse hinsichtlich der Mensch-Roboter-Interaktion im höheren Alter. Sie zeigen, dass bei älteren Nutzern für eine effektive Interaktion Betriebsmodi mit einem hohen Maß an Autonomie des Duschroboters notwendig sind. Trotz ihrer eingeschränkten Kontrolle über den Roboter, waren die Nutzer mit dem autonomsten Betriebsmodus sogar am zufriedensten. Darüber hinaus unterstreichen die Ergebnisse hinsichtlich der gestenbasierten Interaktion mit dem I-SUPPORT-Duschroboter, dass zukünftige Entwicklungen von altersgerechten Assistenzrobotern mit gestenbasierter Interaktion nicht nur die Verbesserungen technischer Aspekte, sondern auch die Sicherstellung und Verbesserungen der Qualität der Nutzergesten für die Mensch-Roboter-Interaktion durch geeignete Trainings- oder Schulungsmaßnahmen berücksichtigen sollten. Das vorgestellte Nutzertraining könnte hierfür ein mögliches Modell darstellen

A probabilistic approach to learn activities of daily living of a mobility aid device user

© 2014 IEEE. The problem of inferring human behaviour is naturally complex: people interact with the environment and each other in many different ways, and dealing with the often incomplete and uncertain sensed data by which the actions are perceived only compounds the difficulty of the problem. In this paper, we propose a framework whereby these elaborate behaviours can be naturally simplified by decomposing them into smaller activities, whose temporal dependencies can be more efficiently represented via probabilistic hierarchical learning models. In this regard, patterns of a number of activities typically carried out by users of an ambulatory aid device have been identified with the aid of a Hierarchical Hidden Markov Model (HHMM) framework. By decomposing the complex behaviours into multiple layers of abstraction the approach is shown capable of modelling and learning these tightly coupled human-machine interactions. The inference accuracy of the proposed model is proven to compare favourably against more traditional discriminative models, as well as other compatible generative strategies to provide a complete picture that highlights the benefits of the proposed approach, and opens the door to more intelligent assistance with a robotic mobility aid

A scoping review and a taxonomy of the use of motion-based technology centered on the end user. A special focus on elderly health

Motion-based technology (MBT) has been applied in the last decades with enormous success in a high number of applications. Its use continues growing and is specially interesting in the health area. Nowadays, its employment is being more and more specialised with respect to the profile of the end user (i.e., child, adolescent/teenager, adult or elderly). This paper first reviews the use of MBT centered in the end user from a global perspective. It also proposes a taxonomy that allows cataloguing the MBT employment directed to the end user. Then, from these results, the paper centers the review on the MBT application aiming to improve the health of elderly. The results highlighted in this paper can help to a better understanding of MBT, especially when it is applied thinking in elderly as the end users.This study is partially funded by the Universidad de Málaga with the national project Bio4Res (PID2021-125184NB-I00) from the Ministerio de Ciencia e Innovaci ́on de Espa ̃na (MCIN). Funding for open access charge: Universidad de Málaga / CBUA

Reimagining Robotic Walkers For Real-World Outdoor Play Environments With Insights From Legged Robots: A Scoping Review

PURPOSE For children with mobility impairments, without cognitive delays, who want to participate in outdoor activities, existing assistive technology (AT) to support their needs is limited. In this review, we investigate the control and design of a selection of robotic walkers while exploring a selection of legged robots to develop solutions that address this gap in robotic AT. METHOD We performed a comprehensive literature search from four main databases: PubMed, Google Scholar, Scopus, and IEEE Xplore. The keywords used in the search were the following: “walker”, “rollator”, “smart walker”, “robotic walker”, “robotic rollator”. Studies were required to discuss the control or design of robotic walkers to be considered. A total of 159 papers were analyzed. RESULTS From the 159 papers, 127 were excluded since they failed to meet our inclusion criteria. The total number of papers analyzed included publications that utilized the same device, therefore we classified the remaining 32 studies into groups based on the type of robotic walker used. This paper reviewed 15 different types of robotic walkers. CONCLUSIONS The ability of many-legged robots to negotiate and transition between a range of unstructured substrates suggests several avenues of future consideration whose pursuit could benefit robotic AT, particularly regarding the present limitations of wheeled paediatric robotic walkers for children’s daily outside use. For more information: Kod*lab (link to kodlab.seas.upenn.edu