Titlebook: Digital Health Transformation, Smart Ageing, and Managing Disability; 20th International C Kim Jongbae,Mounir Mokhtari,Lee Seungbok Confere

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良心

事情

The Internalization of Accountability) 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.

窩轉(zhuǎn)脊椎動(dòng)物

Robert E. B. Lucas,Donald Verryses introduced at three known specific timestamps. Following, we compared our detection results for the subject’s physical activity change timestamps with the medical staff medication doses timestamps. Our results show that we can detect the physical activity change at close timestamps compared to those indicated by the medical staff.

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deface

Restructuring the Welfare Statepredict missing data patterns. The performance of the proposed approach is evaluated using data collected from a field trial. Results show that the technique can effectively identify and predict missing patterns.

搖曳

ANNUL

Keratin

Real-time Pilates Posture Recognition System Using Deep Learning Modelso measures the number of workouts, duration, and similarity to experts in video sequences. The precision, recall, and f1-score of the posture recognition model are 0.90, 0.87, and 0.88, respectively. The introduced application is expected to be used for exercise management at home.

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