AIMC Topic: Nursing Homes

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Fall Detector Adapted to Nursing Home Needs through an Optical-Flow based CNN.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Fall detection in specialized homes for the elderly is challenging. Vision-based fall detection solutions have a significant advantage over sensor-based ones as they do not instrument the resident who can suffer from mental diseases. This work is par...

Integrating Socially Assistive Robots into Japanese Nursing Care.

Studies in health technology and informatics
This paper presents experiences of integrating assistive robots in Japanese nursing care through semi-structured interviews and site observations at three nursing homes in Japan during the spring of 2019. The study looked at experiences with the robo...

[The current status of elderly care robots].

Nihon Ronen Igakkai zasshi. Japanese journal of geriatrics

[The robotic assistance system.].

Recenti progressi in medicina
The aging of the population is a reality common to the entire Western world, while the time available and human resources are limited. According to many experts, the new robotic technologies could help meet the care needs of the elderly, at home and ...

A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.

The Gerontologist
BACKGROUND AND OBJECTIVES: Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items (72) to be a barrier to using the assessment.

[A humanoid robot used with elderly people suffering from cognitive disorders].

Soins; la revue de reference infirmiere
An experiment was carried out using a humanoid robot in a nursing home. The aim was to assess the benefit it can offer residents and professionals, as part of group reminiscence workshops with people suffering from moderate cognitive disorders.