I-Living: An Open System Architecture for Assisted Living

Wang, Qixin; Shin, Wook; Liu, Xue; Zeng, Zheng; Oh, Cham; AlShebli, Bedoor; Caccamo, Marco; Gunter, Carl A.; Gunter, Elsa L.; Hou, Jennifer C.; Karahalios, Karrie; Sha, Lui

doi:10.1109/icsmc.2006.384805

Cited by 73 publications

(44 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this domain the research effort is driven by the cost benefits of remote health provision and constant patient monitoring in the home. However common technologies for assisted living tend to be application specific and the integration of the technologies is often non-standard [5]. This is because many assisted living applications pre-date web services and are designed in vendor specific or application focused environments dominated by specific vendors or procedures set by specific health care providers.…”

Section: Introductionmentioning

confidence: 99%

Risk driven Smart Home resource management using cloud services

Kirkham

Armstrong

Djemame

et al. 2014

Future Generation Computer Systems

View full text Add to dashboard Cite

In order to fully exploit the concept of the Smart Home, challenges associated with multiple device management in consumer facing applications have to be addressed. Specific to this is the management of resource usage in the home via the improved utilisation of devices, this is achieved by integration with the wider environment they operate in. The traditional model of the isolated device no longer applies, the future home will be connected with services provided by third parties ranging from supermarkets to domestic appliance manufacturers. In order to achieve this risk based integrated device management and contextualization is explored in this paper based on the cloud computing model. We produce an architecture and evaluate risk models to assist in this management of devices from a security, privacy and resource management perspective. We later propose and expansion on the risk based approach to wider data sharing between the home and external services using the key indicators of TREC (Trust, Risk, Eco-efficiency and Cost). The paper contributes to Smart Home research by defining how Cloud service management principles of risk and contextualization for virtual machines can produce solutions to emerging challenges facing a new generation of Smart Home devices.

show abstract

Section: Introductionmentioning

confidence: 99%

Risk driven Smart Home resource management using cloud services

Kirkham

Armstrong

Djemame

et al. 2014

Future Generation Computer Systems

View full text Add to dashboard Cite

show abstract

“…It features an integrated antenna and is connected via a UART 12 interface to the robot's on-board computer. While a position estimate can be computed 11 http://www.feig.de/ 12 Universal asynchronous receiver/transmitter in the way described above, the orientation estimation is more difficult. It is based on detecting several landmarks while the robot is moving.…”

Section: Robot Localisationmentioning

confidence: 99%

“…For example, [11] states that already on the infrastructure level (in this case the ubiquitous middle-ware I-Living), means to ensure privacy shall be provided when collecting and merging all sorts of information about activities of daily life. The authors of [12] invented an algorithm for perturbing user location data in order to maintain privacy.…”

Section: Recent Approachesmentioning

confidence: 99%

Using an autonomous robot to maintain privacy in assistive environments

Armbrust¹,

Mehdi²,

Reichardt³

et al. 2011

Security Comm Networks

View full text Add to dashboard Cite

In our societies, the number of senior citizens living on their own is increasing steadily. The lack of permanent attention results in the late detection of emergency situations. Labour-intensive care is already a high burden for the society, therefore it seems reasonable to promote technology that helps to detect and react in case of emergency situations that elderly people may encounter.In the last decade, assistive environments have been established by integrating surveillance devices into the living environments giving remote operators access to monitor the senior inhabitant at home for detecting emergency situations. However, due to poor privacy in terms of intrusion into the private life of an elderly person, there will be an unfavourably low acceptance of such systems.This paper introduces a two-stage strategy and proposes to replace a possibly large number of humancontrolled monitoring devices by a single autonomous mobile system. The first stage will be performed by the autonomous system to detect an emergency situation. The human operator will be obligatory only at the final stage when the system assumes that an emergency has occurred and the final evaluation of the situation is required. The self-assessment will reduce the human factor related to privacy issues.

show abstract

“…Most of the research in assisted living domain requires the use of many different sensors [4,18,28,31]. This kind of setup is usually very costly and not practical for the user.…”

Section: Related Workmentioning

confidence: 99%

Snippet Based Trajectory Statistics Histograms for Assistive Technologies

İşcen

Wang

Duygulu

et al. 2015

Computer Vision - ECCV 2014 Workshops

View full text Add to dashboard Cite

Abstract. Due to increasing hospital costs and traveling time, more and more patients decide to use medical devices at home without traveling to the hospital. However, these devices are not always very straight-forward for usage, and the recent reports show that there are many injuries and even deaths caused by the wrong use of these devices. Since human supervision during every usage is impractical, there is a need for computer vision systems that would recognize actions and detect if the patient has done something wrong. In this paper, we propose to use Snippet Based Trajectory Statistics Histograms descriptor to recognize actions in two medical device usage problems; inhaler device usage and infusion pump usage. Snippet Based Trajectory Statistics Histograms encodes the motion and position statistics of densely extracted trajectories from a video. Our experiments show that by using Snippet Based Trajectory Statistics Histograms technique, we improve the overall performance for both tasks. Additionally, this method does not require heavy computation, and is suitable for real-time systems.

show abstract

I-Living: An Open System Architecture for Assisted Living

Cited by 73 publications

References 0 publications

Risk driven Smart Home resource management using cloud services

Risk driven Smart Home resource management using cloud services

Using an autonomous robot to maintain privacy in assistive environments

Snippet Based Trajectory Statistics Histograms for Assistive Technologies

Contact Info

Product

Resources

About