AIMC Topic: Home Environment

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Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation.

Journal of medical Internet research Jun 1, 2023
BACKGROUND: The growing public interest and awareness regarding the significance of sleep is driving the demand for sleep monitoring at home. In addition to various commercially available wearable and nearable devices, sound-based sleep staging via d...
Deep Learning Smartphone Humans Home Environment Sound Recordings Sleep Stages Sleep
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Better Data from AI Users: A Field Experiment on the Impacts of Robot Self-Disclosure on the Utterance of Child Users in Home Environment.

Sensors (Basel, Switzerland) Mar 10, 2023
Data are one of the important factors in artificial intelligence (AI). Moreover, in order for AI to understand the user and go beyond the role of a simple machine, the data contained in the user's self-disclosure is required. In this study, two types...
Humans Robotics Self Disclosure Artificial Intelligence Disclosure Child Home Environment
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Effects of a cognitive-based intervention program using social robot PIO on cognitive function, depression, loneliness, and quality of life of older adults living alone.

Frontiers in public health Feb 6, 2023
OBJECTIVE: Social robot interventions are being implemented to reduce cognitive decline, depression, and loneliness among older adults. However, the types, functions, and programs of effective social robots have not yet been confirmed. This study inv...
Cognition Robotics Depression Home Environment Loneliness Social Interaction Humans Quality of Life Aged
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A Multirobot System in an Assisted Home Environment to Support the Elderly in Their Daily Lives.

Sensors (Basel, Switzerland) Oct 19, 2022
The increasing isolation of the elderly both in their own homes and in care homes has made the problem of caring for elderly people who live alone an urgent priority. This article presents a proposed design for a heterogeneous multirobot system consi...
Reactive Oxygen Species Home Environment Artificial Intelligence Monitoring, Physiologic Humans Quality of Life Aged
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Improving Network-Based Anomaly Detection in Smart Home Environment.

Sensors (Basel, Switzerland) Jul 27, 2022
The Smart Home (SH) has become an appealing target of cyberattacks. Due to the limitation of hardware resources and the various operating systems (OS) of current SH devices, existing security features cannot protect such an environment. Generally, th...
Algorithms Machine Learning Home Environment
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A Single RGB Camera Based Gait Analysis With A Mobile Tele-Robot For Healthcare.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
With the increasing awareness of high-quality life, there is a growing need for health monitoring devices running robust algorithms in home environment. Health monitoring technologies enable real-time analysis of users' health status, offering long-t...
Robotics Delivery of Health Care Humans Home Environment Biomechanical Phenomena Gait Analysis
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Acoustic Based Footstep Detection in Pervasive Healthcare.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Passive detection of footsteps in domestic settings can allow the development of assistive technologies that can monitor mobility patterns of older adults in their home environment. Acoustic footstep detection is a promising approach for non-intrusiv...
Home Environment Neural Networks, Computer Walking Humans Delivery of Health Care Noise Acoustics Aged
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Assessing Physical Rehabilitation Exercises using Graph Convolutional Network with Self-supervised regularization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Computer-vision techniques provide a way to conduct low-cost, portable, and real-time evaluations of exercises performed as a part of physical rehabilitation. Recent data-driven methods have explored using deep learning on 3D body-landmark sequences ...
Exercise Home Environment Exercise Therapy Humans Neural Networks, Computer
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