The BehaviorScope framework for enabling ambient assisted living

Bamis, Athanasios; Lymberopoulos, Dimitrios; Teixeira, Thiago; Savvides, Andreas

doi:10.1007/s00779-010-0282-z

Cited by 58 publications

(25 citation statements)

References 15 publications

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“…The related projects are typically aimed at leveraging technologies to relieve/to alleviate/to mediate the difficulties of older life. Traces of this paradigm emerged for example in [3,33,71,82]. These papers share a common rigorous analysis of the technical properties and functional performance of system architectures.…”

Section: The Functional Paradigmmentioning

confidence: 99%

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Ubiquitous technologies for older people

Cozza

Angeli

Tonolli

2017

Pers Ubiquit Comput

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In this paper, we present a close reading of work in ubicomp of applications for older people. Starting from three lines of enquiry defined in the inaugural issue of this journal, we discuss how ubicomp research has presented the relationship between technologies and older users. We base our reasoning on a review of papers published in Personal and Ubiquitous Computing (1997Computing ( -2014. The lines of enquiry refer to paradigms (functional vs. sociotechnical), users (stereotype and involvement), and contexts (indoor and/or outdoor). These themes address the presentation of SUITCASE project (SUstainable Integrated & Territorial CAre SErvices). This is a two-year research on care services for older citizens within the smart home construct. We develop an initial framework that not only provides a cohesive view of technologies for older people, but also serves as a salient guideline for reflective design which extends beyond the target population. This framework may also address future design projects, funding schemes, and editorial policies.

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Section: The Functional Paradigmmentioning

confidence: 99%

“…The articles about the development of AAL for older users are evenly split between indoor (18 articles) and outdoor contexts (16 articles). Two articles discussed technologies that fall in both groups [3,54].…”

Section: Contextmentioning

confidence: 99%

Ubiquitous technologies for older people

Cozza

Angeli

Tonolli

2017

Pers Ubiquit Comput

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“…For example a resident entering the infirmary or the kitchen. For these events there are techniques already published (Bamis et al 2010) to prevent risky situations for the residents, they will not be considered in our design as a challenge.…”

Section: Inference Enginementioning

confidence: 99%

Design of a Predictive Scheduling System to Improve Assisted Living Services for Elders

Soto-Mendoza

García-Macías

Chávez

et al. 2015

ACM Trans. Intell. Syst. Technol.

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As the number of older adults increases, and with it the demand for dedicated care, geriatric residences face a shortage of caregivers, who themselves experience work overload, stress and burden. We conducted a long-term field study in three geriatric residences to understand the work conditions of caregivers with the aim of developing technologies to assist them in their work and help them deal with their burden. From this study we obtained relevant requirements and insights of design that were used to design, implement and evaluate two prototypes for supporting caregivers' tasks (e.g. electronic recording and automatic notifications), in order to validate the feasibility of their implementation in-situ and the technical requirements. The evaluation in-situ of the prototypes was conducted for a period of four weeks. The results of the evaluation, together with the data collected from six months of use, motivated the design of a predictive schedule. Such design was iteratively improved and evaluated in participative sessions with caregivers. PRESENCE, the predictive schedule we propose, triggers real-time alerts of risky situations (e.g. falls, entering off-limits areas such as the infirmary or the kitchen) and, informs caregivers of routine tasks that need to be performed (e.g. medication administration, diaper change, etc.). Moreover, PRESENCE helps caregivers to record caring tasks (such as diaper changes or medication) and wellbeing assessments (such as the mood), which are difficult to automatize. This facilitates caregiver's shift handover, and can help to train new caregivers by suggesting routine tasks and by sending reminders and timely information about the residents. It can be seen as a tool to reduce the workload of caregivers and medical staff. Instead of trying to substitute the caregiver with an automatic caring system, as proposed by others, we propose the design of our predictive schedule system that blends caregiver's assessments and measurements from sensors. We show the feasibility of predicting caregiver's tasks and a formative evaluation with caregivers that provides preliminary evidence of its utility.

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“…Even though a lot of work exists in analyzing human behavior using sensor data, especially for wellness applications [2], when it comes to Wi-Fi network meta-data, there is only a limited amount of relevant work. In [18] Moghaddam et al used information theoretical co-clustering to extract the relationship between users and their website access patterns.…”

Section: Related Workmentioning

confidence: 99%

Locating emergencies in a campus using wi-fi access point association data

Farhan

Bamis

Wang

2013

Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication

Self Cite

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Despite much progress in emergency management, effective techniques for real-time tracking of emergency events are still lacking. We envision a promising direction to achieve real-time emergency tracking is through widely adopted smartphones. In this paper, we explore the first step in achieving this goal, namely, locating emergency in real time using smartphones. Our main contribution is a novel approach that locates emergencies by analyzing AP (access point) association events collected from a campus Wi-Fi network. It is motivated by the observation that human behavior and mobility pattern are significantly altered in the face of emergency, which is reflected in how their smartphones associate with the APs in the network. More specifically, our approach locates emergency by discovering APs with abnormal association patterns using Extreme Value Theory (EVT). Preliminary evaluation using real data collected from a university campus network demonstrates the effectiveness of our approach.

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The BehaviorScope framework for enabling ambient assisted living

Cited by 58 publications

References 15 publications

Ubiquitous technologies for older people

Ubiquitous technologies for older people

Design of a Predictive Scheduling System to Improve Assisted Living Services for Elders

Locating emergencies in a campus using wi-fi access point association data

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