Detecting Domestic Problems of Elderly People: Simple and Unobstrusive Sensors to Generate the Context of the Attended

Botía, Juan A.; Villa, Ana; Palma, José; Pérez, David Buldain; Iborra, Emilio

doi:10.1007/978-3-642-02481-8_124

Cited by 10 publications

(4 citation statements)

References 3 publications

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“…Among the several methods tested (Decision trees, Naive Bayes, KNN, SVM and Random Forest), Random Forest yielded the best results in preliminary tests [7,11]. Random Forest is an ensemble of decision trees in which the final decision is formed by a majority vote of the tree models [1].…”

Section: Location Featuresmentioning

confidence: 99%

Context-based fall detection and activity recognition using inertial and location sensors

Gjoreski

Gams

Luštrek

2014

Journal of Ambient Intelligence and Smart Environments

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Accidental falls are some of the most common sources of injury among the elderly. A fall is particularly critical when the elderly person is injured and cannot call for help. This problem is addressed by many fall-detection systems, but they often focus on isolated falls under restricted conditions, not paying enough attention to complex, real-life situations. To achieve robust performance in real life, a combination of body-worn inertial and location sensors for fall detection is studied in this paper. A novel context-based method that exploits the information from the both types of sensors is designed. It considers body accelerations, location and elementary activities to detect a fall. The recognition of the activities is of great importance and also is the most demanding of the three, thus it is treated as a separate task. The evaluation is performed on a real-life scenario, including fast falls, slow falls and fall-like situations that are difficult to distinguish from falls. All possible combinations of six inertial and four location sensors are tested. The results show that: (i) context-based reasoning significantly improves the performance; (ii) a combination of two types of sensors in a single physical sensor enclosure is the best practical solution.

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Section: Location Featuresmentioning

confidence: 99%

Context-based fall detection and activity recognition using inertial and location sensors

Gjoreski

Gams

Luštrek

2014

Journal of Ambient Intelligence and Smart Environments

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“…A nursing home is a singular context for caring, in which coordination of caregivers and traffic of critical information is basic for the well-functioning and quality of the caring [26]. Necessity regarding problems to be detected and solved is further studied in [28]. …”

Section: Introductionmentioning

confidence: 99%

AmI and Deployment Considerations in AAL Services Provision for Elderly Independent Living: The MonAMI Project

Falcó

Vaquerizo

Lain

et al. 2013

Sensors

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Abstract:The MonAMI project aims to investigate the feasibility of the deployment of open platforms for Ambient Assisted Living (AAL) services provision based on Ambient Intelligence (AmI) and to test user acceptance and the usability of the services. Services were designed to provide support in the areas of environmental control, security, well-being and leisure. These services were installed and evaluated in a Spanish geriatric residence. The participants included elderly persons with disabilities, nursing home care givers and informal carers. The concept of the open platform proved to be satisfactory for the provision of the services in a context aware framework. Furthermore, the usability of the technology was viewed positively and the overall results indicate that this system has the potential to prolong independent living at home for elderly people with disabilities. Deployment was proven successful and awareness of open-platform AAL service delivery was raised in local communities throughout Europe.

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“…A more detailed review of Necesity can be found elsewhere [6], whereas the use of argumentation in AAL can be found in [7]. The alert management tool proposed in this paper uses Necesity as the AAL system to obtain information of the monitored house and argumentation techniques to generate text-based reports.…”

Section: Introductionmentioning

confidence: 99%

“…This section briefly reviews our previous work on developing a basic AAL system, named Necesity, see Section 2.1, and introducing argumentation techniques to justify contexts inferred by the system and disambiguate inconsistent situations, see Section 2.2. A more detailed review of Necesity can be found elsewhere [ 6 ], whereas the use of argumentation in AAL can be found in [ 7 ]. The alert management tool proposed in this paper uses Necesity as the AAL system to obtain information of the monitored house and argumentation techniques to generate text-based reports.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Representing Sensor Data to Validate Alerts in Ambient Assisted Living

Muñoz

Serrano

Villa³

et al. 2012

Sensors

Self Cite

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The mainstream of research in Ambient Assisted Living (AAL) is devoted to developing intelligent systems for processing the data collected through artificial sensing. Besides, there are other elements that must be considered to foster the adoption of AAL solutions in real environments. In this paper we focus on the problem of designing interfaces among caregivers and AAL systems. We present an alert management tool that supports carers in their task of validating alarms raised by the system. It generates text-based explanations—obtained through an argumentation process—of the causes leading to alarm activation along with graphical sensor information and 3D models, thus offering complementary types of information. Moreover, a guideline to use the tool when validating alerts is also provided. Finally, the functionality of the proposed tool is demonstrated through two real cases of alert.

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Detecting Domestic Problems of Elderly People: Simple and Unobstrusive Sensors to Generate the Context of the Attended

Cited by 10 publications

References 3 publications

Context-based fall detection and activity recognition using inertial and location sensors

Context-based fall detection and activity recognition using inertial and location sensors

AmI and Deployment Considerations in AAL Services Provision for Elderly Independent Living: The MonAMI Project

An Approach for Representing Sensor Data to Validate Alerts in Ambient Assisted Living

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