TY - GEN
T1 - Situation-Aware Framework for Energy Saving in Unattended Activities of Daily Living in Smart Home Environments
AU - Oyeleke, Richard O.
AU - Parekh, Pranav
AU - DiCuffa, Sophia
AU - Quinlan, Andrew
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023
Y1 - 2023
N2 - Activities of daily living (ADLs) are basic self-care tasks that are necessary for independent living. It is also used to assess aging adults’ functional ability. As people age, they experience impaired awareness, which affects their reasoning, cognitive ability, and consequently impedes their ability to manage or supervise ADLs successfully. Impaired awareness has a potential economic impact on aging adults. For example, recent studies have shown that aging adults with impaired awareness use more energy in homes due to deviation from normal execution of ADLs. This often results in incompletely executed ADLs which are left unattended or unsupervised. Unsupervised ADLs involving appliances with high wattage ratings (e.g., TV, air conditioner) can lead to an increase in the cost of home energy services used by aging adults who desire to age-in-place. Thus, in this paper, we propose a situation-aware framework that leverages a smart home resident's context information with respect to unattended ADLs in mitigating increased energy consumptions in smart home environments.
AB - Activities of daily living (ADLs) are basic self-care tasks that are necessary for independent living. It is also used to assess aging adults’ functional ability. As people age, they experience impaired awareness, which affects their reasoning, cognitive ability, and consequently impedes their ability to manage or supervise ADLs successfully. Impaired awareness has a potential economic impact on aging adults. For example, recent studies have shown that aging adults with impaired awareness use more energy in homes due to deviation from normal execution of ADLs. This often results in incompletely executed ADLs which are left unattended or unsupervised. Unsupervised ADLs involving appliances with high wattage ratings (e.g., TV, air conditioner) can lead to an increase in the cost of home energy services used by aging adults who desire to age-in-place. Thus, in this paper, we propose a situation-aware framework that leverages a smart home resident's context information with respect to unattended ADLs in mitigating increased energy consumptions in smart home environments.
KW - ADLs
KW - Smart home
KW - aging adult
KW - aging-in-place
KW - internet of things (IoT)
KW - machine learning
KW - situation awareness
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U2 - 10.1007/978-3-031-43950-6_4
DO - 10.1007/978-3-031-43950-6_4
M3 - Conference contribution
AN - SCOPUS:85174615546
SN - 9783031439490
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 38
EP - 50
BT - Digital Health Transformation, Smart Ageing, and Managing Disability - 20th International Conference, ICOST 2023, Proceedings
A2 - Jongbae, Kim
A2 - Seungbok, Lee
A2 - Mokhtari, Mounir
A2 - Aloulou, Hamdi
A2 - Abdulrazak, Bessam
T2 - 20th International Conference on Smart Living and Public Health, ICOST 2023
Y2 - 7 July 2023 through 8 July 2023
ER -