Using Case-Based Reasoning to Detect Risk Scenarios of Elderly People Living Alone at Home

Lupiani, Eduardo; Juárez, José M.; Palma, José; Sauer, Christian; Roth–Berghofer, Thomas

doi:10.1007/978-3-319-11209-1_20

Cited by 3 publications

(1 citation statement)

References 22 publications

(33 reference statements)

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“…It can refer to the physical location, such as a specific venue or building, or to the overall atmosphere and environs or surroundings of an event. Similarity measures between events and event sequences have been well studied [1][2][3][4][5][6][7]. Assessing similarity between event settings adds another dimension to event sequence analysis in that it offers context and information on potential shared influencing factors.…”

Section: Introductionmentioning

confidence: 99%

A Novel Similarity Measure of Spatiotemporal Event Setting Sequences: Method Development and Case Study

Beard

2023

Geographies

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Examining the similarity of event environments or surroundings—more precisely, settings—provides additional insight in analyzing event sequences, as it provides information about the context and potential common factors that may have influenced them. This article proposes a new similarity measure for event setting sequences, which involve the space and time in which events occur. While similarity measures for spatiotemporal event sequences have been studied, the settings and setting sequences have not yet been studied. While modeling event setting sequences, we consider spatial and temporal scales to define the bounds of the setting and incorporate dynamic variables alongside static variables. Using a matrix-based representation and an extended Jaccard index, we developed new similarity measures that allow for the use of all variable data types. We successfully used these similarity measures coupled with other multivariate statistical analysis approaches in a case study involving setting sequences and pollution event sequences associated with the same monitoring stations, which validate the hypothesis that more similar spatial-temporal settings or setting sequences may generate more similar events or event sequences. In conclusion, the developed similarity measures have wide application beyond the case study to other disciplinary contexts and geographical settings. They offer researchers a powerful tool for understanding different factors and their dynamics corresponding to occurrences of spatiotemporal event sequences.

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Section: Introductionmentioning

confidence: 99%

A Novel Similarity Measure of Spatiotemporal Event Setting Sequences: Method Development and Case Study

Beard

2023

Geographies

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A Review of Abnormal Behavior Detection in Activities of Daily Living

et al. 2023

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Abnormal behavior detection (ABD) systems are built to automatically identify and recognize abnormal behavior from various input data types, such as sensor-based and vision-based input. As much as the attention received for ABD systems, the number of studies on ABD in activities of daily living (ADL) is limited. Owing to the increasing rate of elderly accidents in the home compound, ABD in ADL research should be given as much attention to preventing accidents by sending out signals when abnormal behavior such as falling is detected. In this study, we compare and contrast the formation of the ABD system in ADL from input data types (sensor-based input and vision-based input) to modeling techniques (conventional and deep learning approaches). We scrutinize the public datasets available and provide solutions for one of the significant issues: the lack of datasets in ABD in ADL. This work aims to guide new research to understand the field of ABD in ADL better and serve as a reference for future study of better Ambient Assisted Living with the growing smart home trend. INDEX TERMS abnormal behavior detection, activities of daily living

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Similarity Measure of Spatiotemporal Event Setting Sequences: Method Development and A Case Study on Monitoring Coastal Fecal Coliform Pollution Events

Xu¹,

Beard²

2023

Preprint

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Examining the similarity of event environments or surroundings, more precisely settings, provides additional insight in analyzing event sequences as it provides information about the context and potential common factors that may have influenced them. This article proposes a new similarity measure for event setting sequences, which involve the space and time in which events occur. While similarity measures for spatiotemporal event sequences have been studied, the settings and setting sequences have not yet been studied. While modeling event setting sequences we consider spatial and temporal scales to define the bounds of the setting and incorporates dynamic variables alongside static variables. Using a matrix-based representation and an extended Jaccard index we developed new similarity measures that allow for the use of all variable data types. We successfully used these similarity measures coupled with other multivariate statistical analysis approaches in a case study involving setting sequences and pollution event sequences associated with the same monitoring stations, which validate the hypothesis that more similar spatial-temporal settings or setting sequences may generate more similar events or event sequences. In conclusion, these similarity measures have many potential real-world applications, and offer researchers a powerful tool for understanding different factors and their dynamics corresponding to occurrences of spatiotemporal event sequences.

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Using Case-Based Reasoning to Detect Risk Scenarios of Elderly People Living Alone at Home

Cited by 3 publications

References 22 publications

A Novel Similarity Measure of Spatiotemporal Event Setting Sequences: Method Development and Case Study

A Novel Similarity Measure of Spatiotemporal Event Setting Sequences: Method Development and Case Study

A Review of Abnormal Behavior Detection in Activities of Daily Living

Similarity Measure of Spatiotemporal Event Setting Sequences: Method Development and A Case Study on Monitoring Coastal Fecal Coliform Pollution Events

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