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Deep-cARe: Projection-Based Home Care Augmented Reality System with Deep Learning for Elderly
2019
Applied Sciences
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To provide auxiliary functions and ensure the safety of the elderly in daily living situations, we propose a projection-based augmented reality (PAR) system equipped with a deep-learning module. ...
We present a discussion of the possibility of care systems for the elderly through the fusion of PAR and deep-learning frameworks. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app9183897
fatcat:xgg5xuh3nnglzcmctfdxxbga7a
Classification of Restlessness Level by Deep Learning of Visual Geometry Group Convolution Neural Network with Acoustic Speech and Visual Face Sensor Data for Smart Care Applications
2020
Sensors and materials
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Both VGG-16 and VGG-19 CNN deep learning models are used to evaluate the effectiveness of restlessness level classification in three different data modality inputs: acoustic speech observations alone, ...
In this study, restlessness level recognition using a deep learning scheme of the Visual Geometry Group (VGG) convolution neural network (CNN) with input acoustic speech and visual face sensor data is ...
Acknowledgments This research is partially supported by the Ministry of Science and Technology (MOST) in Taiwan under Grant MOST 108-2221-E-150-037. ...
doi:10.18494/sam.2020.2881
fatcat:iak6g2bolvd5vd6ihwmlqdouke
Facial Expression Recognition in Older Adults using Deep Machine Learning
2017
International Conference of the Italian Association for Artificial Intelligence
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The achieved results show the superiority of the proposed deep learning approach compared to the conventional non-deep learning based facial expression recognition methods used in this context. ...
Facial Expression Recognition is still one of the challenging fields in pattern recognition and machine learning science. ...
Approach
Conclusions A deep learning approach based on SDAE for the automatic recognition of facial expression in older adults has been presented and validated through experiments performed on two benchmark ...
dblp:conf/aiia/CaroppoLS17
fatcat:mfiayvpugnf2zp6ywerpxghusu
Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People
2019
Zenodo
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To uphold the efficacy of this proposed framework for improving the quality of life of elderly people in smart homes, it has been tested on three datasets and the results are presented and discussed. ...
Intelligent Affect Aware Systems that can not only analyze but also predict the behavior of elderly people in the context of their day to day interactions with technology in an IoT-based environment, holds ...
Develop a learning model that can predict user experiences based on mood, emotional response and the outcome of the given activity. ...
doi:10.5281/zenodo.3974003
fatcat:by4votihdzg4vdm3zykw757oue
Towards the Edge Intelligence: Robot Assistant for the Detection and Classification of Human Emotions
[chapter]
2020
Communications in Computer and Information Science
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We adapted edge AI to classify human emotions. Results show how edge AIbased emotion classification can greatly benefit in the field of cognitive assistants for the elderly or people living alone. ...
Deep learning is being introduced more and more in our society. Nowadays, there are very few applications that do not use deep learning as a classification tool. ...
Acknowledgements This work was partly supported by the Generalitat Valenciana (PROMETEO/2018/002), by the Spanish Government (RTI2018-095390-B-C31) and Universitat Politecnica de Valencia Research Grant ...
doi:10.1007/978-3-030-51999-5_3
fatcat:7gy7d3ijzvdohehzu2stie26vm
Ambient Sensors for Elderly Care and Independent Living: A Survey
2018
Sensors
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Elderly care at home is a matter of great concern if the elderly live alone, since unforeseen circumstances might occur that affect their well-being. ...
Publications have been included in this survey if they reported mostly ambient sensor-based monitoring technologies that detect elderly events (e.g., activities of daily living and falls) with the aim ...
[38] (2005)
Recognition of activities of daily living The work adopted rule-based recognition based on correlation algorithms. ...
doi:10.3390/s18072027
pmid:29941804
pmcid:PMC6068532
fatcat:fb2x2z4hmrbynbcdvou6rmc3gi
Papers by Title
2021
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)
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collection system of wireless body sensor network based on EMG Elder action recognition based on convolutional neural network and long short-term memory Emotion Recognition of the Elderly Living Alone ...
Behavior Patterns of Solitary Elderly Based on Machine Learning Discussion on the recent development of OTT platforms in Taiwan Distributed Multi-Dimensional Scaling Localization Algorithm Based on Improved ...
doi:10.1109/icce-tw52618.2021.9602951
fatcat:x5phgfzzl5cafcxul53thv5w7e
Activity Recognition Method for Home-based Elderly Care Service Based on Random Forest and Activity Similarity
2019
IEEE Access
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Then, we propose a two-stage elderly home activity recognition method based on random forest and activity similarity. ...
Thus, in this paper, we first study the types of activities in home-based elderly care service. ...
Through an automatic periodic monitoring system to ensure the safety of the elderly and improve the quality of life of the elderly people living alone as well as reduce the cost of health care. ...
doi:10.1109/access.2019.2894184
fatcat:4qnc726sjvhedlubwc4pvzci4i
Negative Emotions Sensitive Humanoid Robot with Attention-Enhanced Facial Expression Recognition Network
2022
Intelligent Automation and Soft Computing
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In particular, the proposed negative emotions sensitive
system can be further used in homes for the elderly who are restricted in movements or live alone, to
alleviate their negative emotions by emotional ...
Persons restricted in
movements or older adults who live alone tend to have negative emotions in their daily life easily. ...
doi:10.32604/iasc.2022.026813
fatcat:xqh3mo56izbqzbjfe7hlswmsua
Demands of Dignity in Robotic Care in advance
2019
Techné: Research in Philosophy and Technology
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Having a sense of dignity is one of the core emotions in human life. Is our dignity, and accordingly also our sense of dignity under threat in elderly care, especially in robotic care? ...
How can robotic care support or challenge human dignity in elderly care? The answer will depend on whether it is robot-based, robot-assisted, or teleoperated care that is at stake. ...
There is a deep human need for such empathetic encounters, to experience being emotionally cared about. ...
doi:10.5840/techne20191127108
fatcat:n5hoe3oe4za5jflpb6myslod2i
A Low-Cost Cognitive Assistant
2020
Electronics
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We focus on the hardware parts and the deep learning models so that they can be reproduced by others. The platform is being tested at an elderly people care facility, and validation is in process. ...
The aim is to detect the performance and the emotional state that elderly people present when performing exercises. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/electronics9020310
fatcat:n5vw4h7fpzhmdbl27l377fwfxy
Deep Learning (CNN, RNN) Applications for Smart Homes: A Systematic Review
2022
Computers
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The selected studies dealt with a total of 15 application areas for smart homes, where activity recognition was covered the most. ...
In order to provide more personalized and advanced functions in smart home services, studies on deep learning applications are becoming more frequent, and deep learning is acknowledged as an efficient ...
[42] showed an unobtrusive CNN activity recognition model for older adults living alone. ...
doi:10.3390/computers11020026
fatcat:jrm6yn6m2nbalp42y2zqr2ruxm
Ambient Assisted Living: A Review of Technologies, Methodologies and Future Perspectives for Healthy Aging of Population
2021
Sensors
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A vast amount of literature exists on this topic, so this paper aims to provide a survey of the research and skills related to AAL systems. ...
Over the last decade, there has been considerable and increasing interest in the development of Active and Assisted Living (AAL) systems to support independent living. ...
of elderly people; they can monitor the physical and psychological wellbeing of people that live alone; and, they can detect behavioral changes that could be the sign of early stage of neuro-degenerative ...
doi:10.3390/s21103549
pmid:34069727
pmcid:PMC8160803
fatcat:huc56ric2zfw5htw7nmd6mlh6m
Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP)
2022
Computer systems science and engineering
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The demand for better health services has resulted in the advancement of remote monitoring health, i.e., virtual nursing systems, to watch and support the elderly with innovative concepts such as being ...
This allows a DBN-EP to act as a personalized full-time nurse for a client by carrying out practitioner support activities based on information gathered about the client's health. ...
Funding Statement: The authors received no specific funding for this study.
Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study. ...
doi:10.32604/csse.2022.022234
fatcat:6gkx5obfwbeznal65h26hba5iq
DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning
[article]
2021
arXiv
pre-print
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. 2) We propose personalized design to capture multiple features and achieve accurate recognition of individual EEG signals by enhancing the signal interpretation of Stacked LSTM with attention mechanism ...
To tackle this challenge, we propose and develop an end-to-end solution that enables fine brain-robot interaction (BRI) through embedded learning of coarse EEG signals from the low-cost devices, namely ...
We spend days visiting the elderly care facilities and some of the houses where an elderly live alone. ...
arXiv:2002.02086v2
fatcat:bacjz5kpzjaajdmjfvmms6v6ue
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