Modeling, learning, and simulating human activities of daily living with behavior trees

Francillette, Yannick; Bouchard, Bruno; Bouchard, Kévin; Gaboury, Sébastien

doi:10.1007/s10115-020-01476-x

Cited by 11 publications

(3 citation statements)

References 46 publications

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“…Because of such an augmentation in the population sector, improving quality of care service as well as decreasing medical costs have become in recent years a requirement for new care delivery structures and mechanisms. Moreover, the number of people suffering from loss of autonomy and depending on others for performing activities of daily living (ADL) is increasing [2]. Technologies for assisting and surveilling the health of residents at home are relevant concerning this topic, leading to the articulation of assisting and monitoring tools for people at home in a more efficient manner and contributing to healthcare solutions that may evolve into ambient and pervasive [3].…”

Section: Introductionmentioning

confidence: 99%

“…There exist studies focused on modeling basic ADL, such as AGGIR (Autonomie Gérontologique et Groupe Iso Ressources -Autonomy Gerontology Iso-Resources Groups) grid [7] and SMAF (Functional Autonomy Measurement System) [8], but there is still a need of proposals for ADL representation by means of both task and measurement models in the domain of health and dependency evaluations. Previous works considering task-models-like approaches for modeling ADL are introduced in [2,9,10], where behaviour trees (used in the area of planning as well as to define and implement the behaviour of non-player individuals in the video game field) are employed [2]. Real-time behavior analysis in the elderly concerning their context has been addressed in [9].…”

Section: Introductionmentioning

confidence: 99%

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ADL Monitoring of Elderly People in Smart Homes Based on Task Models

Ramírez

Martinie

Palanque

et al. 2023

Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023)

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Monitoring activities of daily living (ADL) is a frequent practice to determine the independence of elderly people in their homes instrumented with a set of sensors. To do so, the representation of ADL is an issue that must be addressed. In this paper, ADL representation based on task models is presented. To this extent, we propose an approach for task modelling of ADL by means of HAMSTERS-XL, an extensible task notation and tool allowing the design, visualisation, and simulation of task models. The proposed approach consists of several steps aiming to determine parameters, such as time and location, of both activities and sensors, as well as the events that need to be identified. To demonstrate the suitability of our approach, we present the description of two ADL performed by a resident within a smart home environment by employing the AGGIR grid variables, a tool adopted by the French government for determining the autonomy of an elderly individual. The obtained results are analyzed with the purpose of indicating the advantages of using ADL representation by means of task modeling.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ADL Monitoring of Elderly People in Smart Homes Based on Task Models

Ramírez

Martinie

Palanque

et al. 2023

Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023)

View full text Add to dashboard Cite

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“…Previous works regarding task-models-like approaches for modeling ADL are introduced in [18,19]. A home monitoring system is presented in [20] to track and evaluate the wellbeing in terms of social isolation of elderly subjects performing ADL.…”

Section: Introductionmentioning

confidence: 99%

A task-model based approach for detecting ADL-related anomalies

Ramírez

Martinie

Palanque

et al. 2022

2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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In this paper, a task model based on HAMSTERS-XL notation is proposed to represent activities of daily living (ADL). For an efficient representation of ADL, it is also a need to delimit requirements in time and location for each ADL, as well as the sensor data that define the ADL. In this sense, it is also proposed a procedure consisting of a set of step intending to delimit such time and location requirements, regarding both activities and sensors; alongside the events that need to be identified. The presented approach aims at providing an analysis tool regarding the performance of elderly/handicapped people by comparing data recovered from sensors within a smart home environment simulator to the task models. The feed oneself ADL (as well as its possible variations) is picked in order to evaluate our proposal. After proper analysis was carried out, anomalies detected during ADL performance are pointed out in order to detect possible ADL routine modification in a coherent manner through improved task models.

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