Reminiscence intervention is effective for increasing self-esteem and decreasing behavioural disturbances in individuals with dementia. This paper introduces the concept of a "personalised reminiscence photo video" as a convenient method for reminiscence intervention. The video utilises a slideshow video of personal photos with narration, background music, and pan/zoom visual effects. A group of 15 individuals with dementia watched personalised reminiscence photo videos as well as two types of TV shows: a variety show and a news show. Eighty percent of the subjects (12 out of 15) showed more attention to their personalised reminiscence photo video than to the other two types of TV shows, thus suggesting the effectiveness of personalised reminiscence photo videos for reminiscence intervention.

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Currently, due to shortages in the nursing faculty and low access to actual patients, it is difficult for students to receive feedback from teachers and practice with actual patients to obtain clinic experience. Thus, both evaluation systems and simulated patients have become urgent requirements. Accordingly, this study proposes a method to evaluate the nurse’s transfer skill through observation from the patient. After verifying the proposed method, it will be integrated with a robotic patient as a future work. To verify if such an evaluation is practical, a checklist comprising 16 steps with correct and incorrect methods was proposed by the nursing teachers. Further, the evaluation parameters were determined as translational acceleration, rotational speed, and joint angle of patient. Inertial sensors and motion capture were employed to measure the translational acceleration, rotational speed, and joint angle. An experiment was conducted with two nursing teachers, who were asked to carry out both correct and incorrect methods. According to the results, three parameters reveal the difference for a patient under correct/incorrect methods and can further be used to evaluate the nurse’s skill once the thresholds are determined. In addition, the applicability of inertial sensors is confirmed for the use of robot development.

We previously developed remote reminiscence conversation and schedule prompter systems via the videophone to improve psychological stability and to assist individuals with dementia to perform household tasks. Our results showed that the psychological stability of 1 patient persisted for 3 hours after remote conversations. The task completion rate afforded by the schedule prompter system, which displays a video reminder series automatically, was 52%. In the present study, we also investigated whether psychological stability was sustained in other patients. Furthermore, motivational prompter videos were added to enhance the original schedule prompter system. We found that 1 in 4 patients living at home showed greater stability while conversing with a conversation partner on the videophone than while watching television programs, and that she remained stable for 3 hours after remote conversations. The task completion rate afforded by the revised schedule prompter system was 82%. These 2 remote systems are promising tools for assisting individuals with dementia in their daily lives.

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In most Japanese hospitals, different nurses handle the pre-assigned nursing cares in different ways, which directly affect the quality of nursing cares. To our knowledge, there has been less attention on ensuring that nurses provide nursing cares in a timely and accurate fashion. Consequently, in this paper, considering the similarities to the traditional job shop scheduling problems, we will model the daily nursing care scheduling problems and propose an efficient scheduling method based on simulated annealing algorithm. By iteratively local searching based on simulated annealing: (1) permutating the tasks from one nurse to another and (2) permutating the sub tasks handled by a nurse from its original position to another new one, the proposed method is evaluated to be applicable to the nursing care scheduling problems (providing comprehensive, coordinated and cost effective nursing cares to patients).

This paper describes the construction and evaluation of a self-help skill training system for assisting student nurses in learning skills involving the transfer of patients from beds to wheelchairs. We have proposed a feedback method that is based on a checklist and video demonstrations. To help trainees efficiently check their performance and correct errors, the checklist was prepared with items specific to the performance of tasks related to individual body parts (e.g., the height of the waist). In this system, two Kinect RGB-D sensors were used for measuring the posture of the trainees and patients. An automatic skill evaluation method was used to designate the trainees' performance against each evaluation item as correct or incorrect. Furthermore, the system's operation interface was designed to enable self-operation by trainees. Control tests were performed to measure the training effectiveness of the system. The results of the tests on a control group (n ¼ 5) that used only a textbook and demonstration video but did not receive feedback were compared with those of the experimental group (n ¼ 5) that used the proposed system. The results of both subjective and objective evaluation demonstrated that the experimental group showed greater improvement in performing patient transfer than the control group ðp < 0:05Þ.