Development of Audio Sensing Technology for Ambient Assisted Living

2012 ◽  
pp. 148-167 ◽  
Author(s):  
Michel Vacher ◽  
François Portet ◽  
Anthony Fleury ◽  
Norbert Noury
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
Smart Homes ◽  
Noisy Environment ◽  
Audio Analysis ◽  
Sensing Technology ◽  
Smart Home Environment ◽  
Tactile Interfaces ◽  
Analysis System

One of the greatest challenges in Ambient Assisted Living is to design health smart homes that anticipate the needs of its inhabitant while maintaining their safety and comfort. It is thus essential to ease the interaction with the smart home through systems that naturally react to voice command using microphones rather than tactile interfaces. However, efficient audio analysis in such noisy environment is a challenging task. In this paper, a real-time audio analysis system, the AuditHIS system, devoted to audio analysis in smart home environment is presented. AuditHIS has been tested thought three experiments carried out in a smart home that are detailed. The results show the difficulty of the task and serve as basis to discuss the stakes and the challenges of this promising technology in the domain of AAL.

Development of Audio Sensing Technology for Ambient Assisted Living

2011 ◽  
Vol 2 (1) ◽  
pp. 35-54 ◽  
Author(s):  
Michel Vacher ◽  
François Portet ◽  
Anthony Fleury ◽  
Norbert Noury
Keyword(s):  
Home Environment ◽  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
Noisy Environment ◽  
Audio Analysis ◽  
Sensing Technology ◽  
Smart Home Environment ◽  
Tactile Interfaces ◽  
Analysis System

One of the greatest challenges in Ambient Assisted Living is to design health smart homes that anticipate the needs of its inhabitant while maintaining their safety and comfort. It is thus essential to ease the interaction with the smart home through systems that naturally react to voice command using microphones rather than tactile interfaces. However, efficient audio analysis in such noisy environment is a challenging task. In this paper, a real-time audio analysis system, the AuditHIS system, devoted to audio analysis in smart home environment is presented. AuditHIS has been tested thought three experiments carried out in a smart home that are detailed. The results show the difficulty of the task and serve as basis to discuss the stakes and the challenges of this promising technology in the domain of AAL.

scholarly journals A non-intrusive context-aware system for ambient assisted living in smart home

2013 ◽  
Vol 3 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Willy Allègre ◽  
Thomas Burger ◽  
Jean-Yves Antoine ◽  
Pascal Berruet ◽  
Jean-Paul Departe
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
Context Aware ◽  
Context Aware System

scholarly journals Older Adults’ Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review (Preprint)

2021 ◽  
Author(s):  
Rita Latikka ◽  
Rosana Rubio-Hernández ◽  
Elena Simona Lohan ◽  
Juho Rantala ◽  
Fernando Nieto Fernández ◽  
...  
Keyword(s):  
Older Adults ◽  
Literature Review ◽  
Social Isolation ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Systematic Literature Review ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Smart Homes ◽  
Information And Communication

BACKGROUND Loneliness and social isolation can have severe effects on human health and well-being. Partial solutions to combat these circumstances in demographically aging societies have been sought from the field of information and communication technology (ICT). OBJECTIVE This systematic literature review investigates the research conducted on older adults’ loneliness and social isolation, and physical ICTs, namely robots, wearables, and smart homes, in the era of ambient assisted living (AAL). The aim is to gain insight into how technology can help overcome loneliness and social isolation other than by fostering social communication with people and what the main open-ended challenges according to the reviewed studies are. METHODS The data were collected from 7 bibliographic databases. A preliminary search resulted in 1271 entries that were screened based on predefined inclusion criteria. The characteristics of the selected studies were coded, and the results were summarized to answer our research questions. RESULTS The final data set consisted of 23 empirical studies. We found out that ICT solutions such as smart homes can help detect and predict loneliness and social isolation, and technologies such as robotic pets and some other social robots can help alleviate loneliness to some extent. The main open-ended challenges across studies relate to the need for more robust study samples and study designs. Further, the reviewed studies report technology- and topic-specific open-ended challenges. CONCLUSIONS Technology can help assess older adults’ loneliness and social isolation, and alleviate loneliness without direct interaction with other people. The results are highly relevant in the COVID-19 era, where various social restrictions have been introduced all over the world, and the amount of research literature in this regard has increased recently.

scholarly journals Resource Allocation for Edge Computing without Using Cloud Center in Smart Home Environment: A Pricing Approach

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6545
Author(s):  
Huan Liu ◽  
Shiyong Li ◽  
Wei Sun
Keyword(s):  
Resource Allocation ◽  
Home Environment ◽  
Smart Home ◽  
Smart Homes ◽  
Research Area ◽  
Edge Computing ◽  
Allocation Model ◽  
Resource Allocation Algorithm ◽  
Optimal Resource ◽  
Smart Home Environment

Recently, more and more smart homes have become one of important parts of home infrastructure. However, most of the smart home applications are not interconnected and remain isolated. They use the cloud center as the control platform, which increases the risk of link congestion and data security. Thus, in the future, smart homes based on edge computing without using cloud center become an important research area. In this paper, we assume that all applications in a smart home environment are composed of edge nodes and users. In order to maximize the utility of users, we assume that all users and edge nodes are placed in a market and formulate a pricing resource allocation model with utility maximization. We apply the Lagrangian method to analyze the model, so an edge node (provider in the market) allocates its resources to a user (customer in the market) based on the prices of resources and the utility related to the preference of users. To obtain the optimal resource allocation, we propose a pricing-based resource allocation algorithm by using low-pass filtering scheme and conform that the proposed algorithm can achieve an optimum within reasonable convergence times through some numerical examples.

An Ambient Assisted Living for Smart Home to Wealthy Life: A Short Review

2013 ◽  
Vol 5 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Veeramuthu Venkatesh ◽  
V. Vaithayana ◽  
Pethuru Raj ◽  
Rengarajan Amirtharaj
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
Short Review

Smart Home and Ambient Assisted Living Based on the Internet of Things

2017 ◽  
Vol 7 (3) ◽  
pp. 1480 ◽  
Author(s):  
H. Sayuti ◽  
R. A. Rashid ◽  
N. M. Abdul Latiff ◽  
M. R. Abdul Rahim ◽  
A. H. F. Abdul Hamid ◽  
...  
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Scheduling Algorithm ◽  
Ambient Assisted Living ◽  
The Internet ◽  
Test Bed ◽  
Zigbee Technology ◽  
3G Network ◽  
Two Phases ◽  
Cloud Network

This paper presents a Smart Home and Ambient Assisted Living (SHAAL) system that has been developed and tested in a real experimental home environment. SHAAL system is designed on wireless sensor network (WSN) linked to the cloud network on the Internet. The development of SHAAL is divided into two phases: the design of SHAAL network and the development of SHAAL applications. SHAAL network is made up of the home network which is the WSN, and the cloud network. The network is designed using TelG mote that operates under Zigbee technology and includes various sensor modules for SHAAL system. The cloud network consists of the gateway, the server and user devices running on third generation (3G) network. Using priority scheduling algorithm for data transmission, it is shown that the performance delay of this system on the test-bed experiment is 34.2 percent less compared to the theoretical study. The implementation of the experimental testbed has proven that SHAAL has been successfully designed and deployed in the real world.

Sign in / Sign up

Export Citation Format

Share Document