Monitoring elderly people at home with temporal Case-Based Reasoning

Lupiani, Eduardo; Juárez, José M.; Palma, José; Marín, Rafael Luis Hernández

doi:10.1016/j.knosys.2017.07.025

Cited by 27 publications

(7 citation statements)

References 38 publications

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“…Eight [43,44,58,60,63,66] of the 31 studies included in this review, the systems deployed were aimed at providing some sort of medical support by health monitoring and taking appropriate action. Fourteen [43,45,[47][48][49][51][52][53]55,60,64,65,69,72] of the 31 studies were aimed at monitoring the environment for any abnormalities and detecting falls, which allowed the elderly to stay alone in their homes.…”

Section: User Feedback Satisfaction and Effects Of Smart Homesmentioning

confidence: 99%

“…taking appropriate action. Fourteen [43,45,[47][48][49][51][52][53]55,60,64,65,69,72] of the 31 studies were aimed at monitoring the environment for any abnormalities and detecting falls, which allowed the elderly to stay alone in their homes. Figure 2 shows the numbers of studies with different features of smart home.…”

Section: User Feedback Satisfaction and Effects Of Smart Homesmentioning

confidence: 99%

See 1 more Smart Citation

Towards Privacy-Preserved Aging in Place: A Systematic Review

Gochoo

Alnajjar

Tan

et al. 2021

Sensors

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Owing to progressive population aging, elderly people (aged 65 and above) face challenges in carrying out activities of daily living, while placement of the elderly in a care facility is expensive and mentally taxing for them. Thus, there is a need to develop their own homes into smart homes using new technologies. However, this raises concerns of privacy and data security for users since it can be handled remotely. Hence, with advancing technologies it is important to overcome this challenge using privacy-preserving and non-intrusive models. For this review, 235 articles were scanned from databases, out of which 31 articles pertaining to in-home technologies that assist the elderly in living independently were shortlisted for inclusion. They described the adoption of various methodologies like different sensor-based mechanisms, wearables, camera-based techniques, robots, and machine learning strategies to provide a safe and comfortable environment to the elderly. Recent innovations have rendered these technologies more unobtrusive and privacy-preserving with increasing use of environmental sensors and less use of cameras and other devices that may compromise the privacy of individuals. There is a need to develop a comprehensive system for smart homes which ensures patient safety, privacy, and data security; in addition, robots should be integrated with the existing sensor-based platforms to assist in carrying out daily activities and therapies as required.

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Section: User Feedback Satisfaction and Effects Of Smart Homesmentioning

confidence: 99%

Section: User Feedback Satisfaction and Effects Of Smart Homesmentioning

confidence: 99%

Towards Privacy-Preserved Aging in Place: A Systematic Review

Gochoo

Alnajjar

Tan

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Implementing high-performance home care monitoring systems for the elderly has been investigated thoroughly in smart homes [ 28 , 29 , 30 , 31 , 32 , 33 ]. Table 1 shows a comparison of related work for home monitoring.…”

Section: Related Workmentioning

confidence: 99%

Nonintrusive Fine-Grained Home Care Monitoring: Characterizing Quality of In-Home Postural Changes Using Bone-Based Human Sensing

Chen

Saiki

Nakamura

2020

Sensors

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In contrast to the physical activities of able-bodied people at home, most people who require long-term specific care (e.g., bedridden patients and patients who have difficulty walking) usually show more low-intensity slow physical activities with postural changes. Although the existing devices can detect data such as heart rate and the number of steps, they have been increasing the physical burden relying on long-term wearing. The purpose of this paper is to realize a noninvasive fine-grained home care monitoring system that is sustainable for people requiring special care. In the proposed method, we present a novel technique that integrates inexpensive camera devices and bone-based human sensing technologies to characterize the quality of in-home postural changes. We realize a local process in feature data acquisition once per second, which extends from a computer browser to Raspberry Pi. Our key idea is to regard the changes of the bounding box output by standalone pose estimation models in the shape and distance as the quality of the pose conversion, body movement, and positional changes. Furthermore, we use multiple servers to realize distributed processing that uploads data to implement home monitoring as a web service. Based on the experimental results, we conveyed our findings and advice to the subject that include where the daily living habits and the irregularity of home care timings needed improvement.

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“…Hasil pengujian dilakukan dengan 3 skenario yaitu uji coba dengan case di dalam case memory (skenario 1), diluar case memory (skenario 2) dan gejala parsial dari case memory (skenario 3) mendapatkan hasil yang baik dengan nilai precision 100% dan 95,83% untuk skenario 1 serta nilai precision yang kurang baik untuk skenario 2 sebesar 59.31% (Prakoso et al, 2012). Selain itu CBR digunakan untuk membuat suatu sistem yang dapat memantau kegiatan yang dilakukan orang lanjut usia pada lingkungan smart home (Lupiani et al, 2017 (Dong, 2007). Sedangkan untuk mendapatkan hasil klasifikasi yang lebih baik, maka disarankan metode pengukuran similaritas menggunakan manhattan distance, grey coefficient metric dan outranking relation metric (Rezyan et al, 2013).…”

Section: Pendahuluanunclassified

Sistem Rekomendasi Topik Skripsi Menggunakan Metode Case Based Reasoning

Merawati¹,

Hartati

2018

jitter

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[Id]Syarat utama mendapatkan gelar sarjana di perguruan tinggi yaitu dengan membuat suatu karya ilmiah skripsi. Skripsi bertujuan agar mahasiswa dapat menyusun serta menulis karya ilmiah sesuai dengan bidang ilmunya. Skripsi dapat dijadikan acuan atau standar untuk menilai ketercapaian pembelajaran mahasiswa selama masa perkuliahan. Mahasiswa akan mencari topik-topik skripsi yang relevan dengan kompetensi serta mata kuliah yang pernah diambil oleh mahasiswa tersebut. Mahasiswa seringkali mengalami kendala dalam menentukan topik skripsi yang akan diambil karena minimnya informasi topik-topik skripsi mahasiswa terdahulu. Oleh karena itu diperlukan suatu sistem yang mampu memberikan rekomendasi topik skripsi bagi mahasiswa.Metode Case Based Reasoning (CBR) dapat digunakan sebagai sistem rekomendasi topik skripsi bagi mahasiswa S1 Teknik Informatika Bumigora Mataram. CBR mempunyai 4 tahapan yaitu retrieval, reuse, revisi dan retain. Tahapan yang paling penting pada CBR adalah proses retrieval karena pada tahap ini dilakukan pencarian solusi untuk kasus baru dengan menghitung nilai similaritas atau nilai kedekatan antara kasus baru dengan kasus lama. Kasus lama berasal dari data-data topik skripsi mahasiswa sebelumnya. Pada penelitian ini nilai similaritas antar kasus di hitung menggunakan metode manhattan distance. Sedangkan inputan sistem menggunakan nilai mata kuliah wajib dan mata kuliah pilihan yang telah diambil oleh mahasiswa. Sistem CBR, akan menghitung nilai similaritas antara kasus baru dengan seluruh kasus lama yang tersimpan dalam basis kasus menggunakan metode manhattan distance. Kasus lama dengan nilai similaritas tertinggi digunakan sebagai solusi kasus baru. Hasil implementasi sistem menunjukkan bahwa case based reasoning mampu memberikan rekomendasi topik skripsi untuk mahasiswa. Tahap pengujian menggunakan 280 data dengan metode K-fold Cross Validation, dimana nilai K yang digunakan adalah 7, 10 dan 13. Nilai akurasi terbaik diperoleh untuk K=13 dengan nilai 94,34% disusul K=10 sebesar 93, 99% dan K= 7 sebesar 93,95%.[En]The main requirement to get a bachelor's degree in college is by making a undergraduate thesis scientific work. Undergraduate thesis aims to enable students to compile and write scientific works in accordance with their fields of science. Undergraduate thesis can be used as a reference or standard to assess the achievement of student learning during the lecture period. Students will look for thesis topics that are relevant to the competencies and courses taken by the student. Students often experience obstacles in determining thesis topics that will be taken because of the lack of information on previous student thesis topics. Therefore we need a system that is able to provide thesis topic recommendations for students.The Case Based Reasoning (CBR) method can be used as a undergraduate thesis topic recommendation system for students of S1 Informatics Engineering Bumigora Mataram. CBR has 4 stages, namely retrieval, reuse, revise and retain. The most important stage in CBR is the retrieval process because at this stage a search for a solution for a new case is done by calculating the value of similarity or the value of proximity between the new case and the old case. The old case comes from the previous student undergraduate thesis topic data. In this research the value of similarity between cases was calculated using the manhattan distance method. While the input system uses the value of compulsory courses and elective courses taken by students. CBR system, will calculate the similarity value between new cases with all old cases stored in the base case using the manhattan distance method. The old case with the highest similarity value is used as a solution to the new case. Based on the results of implementation shows that case based reasoning can be used as a recommendation system for topic and undergraduate thesis supervisor. Test phase used 280 data with K-fold Cross Validation method, where the value of K used were 7, 10 and 13. The best accuracy value obtained for K = 13 was with the value of 94,34% followed by K = 10 equal to 93, 99% and K =93,95%.

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Monitoring elderly people at home with temporal Case-Based Reasoning

Cited by 27 publications

References 38 publications

Towards Privacy-Preserved Aging in Place: A Systematic Review

Towards Privacy-Preserved Aging in Place: A Systematic Review

Nonintrusive Fine-Grained Home Care Monitoring: Characterizing Quality of In-Home Postural Changes Using Bone-Based Human Sensing

Sistem Rekomendasi Topik Skripsi Menggunakan Metode Case Based Reasoning

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