Progress in developing a socially assistive mobile home robot companion for the elderly with mild cognitive impairment

Groß, Horst–Michael; Schroeter, Christof; Mueller, Steffen; Volkhardt, Michael; Einhorn, E.; Bley, A.; Martin, C. J.; Langner, Tim Dipl.-Inf.; Merten, M.

doi:10.1109/iros.2011.6094770

Cited by 77 publications

(25 citation statements)

References 12 publications

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“…In most cases this technology, which is still very heavy, targets assistive living for elderly. A set of European research projects work exactly on this issue: Robot-ERA [8] is developing several service robots for indoor and outdoor use, integrated in smart houses and providing a set of services for older people, Giraffe+ [9] integrates a telepresence robot into a smart home where the sensor network allows context recognition and interpretation of collected data, ACCOMPANY [10] develops a robotic companion integrated into an intelligent environment, providing services to elderly users to enable independent living at home, MOBISERV [11] aims at studying innovative technology to support independent living of older adults at home or in specialized institutions, CompanionAble [12] has worked on the synergy between robotics and ambient Intelligence technologies enabling a care-giver's assistive environment and HOBBIT [13] develops a socially assistive robot that helps elderly at home. All these projects involve robots that have a human-like presence in the environment.…”

Section: State Of the Artmentioning

confidence: 99%

Ranger, An Example of Integration of Robotics into the Home Ecosystem

Mondada

Fink

Lemaignan

et al. 2015

Mechanisms and Machine Science

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Abstract. This paper presents the concept and an example of robject, a robotic entity embedded in an everyday object. Robjects use the affordance of the original object to ensure an efficient interaction and a high acceptance. The example of the ranger robot shows that this approach can be applied to the domestic environment. We explore the integration of a robot (robject) into a family household, by regarding the home as a ecosystem, which consists of people, parts, products, activities, and interactions. A test of the ranger robot in families validates this holistic approach and shows the impact of this type of design in respect to the complexity of the robotic system.

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Section: State Of the Artmentioning

confidence: 99%

Ranger, An Example of Integration of Robotics into the Home Ecosystem

Mondada

Fink

Lemaignan

et al. 2015

Mechanisms and Machine Science

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“…For instance, recognition of early indicators of functional decline such as deviations in gait using RI-based pose estimation [88] can help preventing accidents, automatic detection of abnormal events such as falls [89] can improve the respond time in emergency situations, and retrospective data analysis can help understand the mechanisms that led to an event. In elderly care, both static installations [90,91,92,93] and mobile robotic platforms [94,95,96] that incorporate dense and real-time range imaging have been proposed. Most systems that rely on human pose analysis exploit the mass-market proven skeletal tracking that ships with Microsoft Kinect [97].…”

Section: Activity Assessment In Elderly Carementioning

confidence: 99%

Real-Time Range Imaging in Health Care: A Survey

Bauer

Seitel

Hofmann³

et al. 2013

Lecture Notes in Computer Science

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Abstract. The recent availability of dynamic, dense, and low-cost range imaging has gained widespread interest in health care. It opens up new opportunities and has an increasing impact on both research and commercial activities. This chapter presents a state-of-the-art survey on the integration of modern range imaging sensors into medical applications. The scope is to identify promising applications and methods, and to provide an overview of recent developments in this rapidly evolving domain. The survey covers a broad range of topics, including guidance in computer-assisted interventions, operation room monitoring and workflow analysis, touch-less interaction and on-patient visualization, as well as prevention and support in elderly care and rehabilitation. We put emphasis on dynamic and interactive tasks where real-time and dense 3-D imaging forms the key aspect. While considering different range imaging modalities that fulfill these requirements, we particularly investigate the impact of Time-of-Flight imaging in this domain. Eventually, we discuss practical demands and limitations, and open research issues and challenges that are of fundamental importance for the progression of the field.

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“…The significance and necessity of assistive technologies in medical and service industry have been growing as a research field for daily life [1][2][3][4][5][6][7][8]. Researchers should introduce projects to improve the people's or society's quality of life; especially, for the people who are in demand such as elderly or people with disabilities.…”

Section: Introductionmentioning

confidence: 99%

“…Researchers should introduce projects to improve the people's or society's quality of life; especially, for the people who are in demand such as elderly or people with disabilities. Recently, with the increase in population, it is obvious that the work load of service and medical industry such as the clinics and hospitals increasing rapidly that can decrease the efficiency and quality of the service to the people in demand [1][2][3]. As an emerging topic in the assistive intelligent systems field, in our previous work [3,9,10], we have been working on developing at-home bio-monitoring mobile robot system for motor function impaired persons (MIPs) with the tasks tracking, behaviour detection and analysis, and etc.…”

Section: Introductionmentioning

confidence: 99%

Top-down Spatial Attention for Visual Search: Novelty Detection-Tracking Using Spatial Memory with a Mobile Robot

İmamoğlu

Dorronzoro

Sekine

et al. 2014

AIVP

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Assistive robotics technologies have been growing impact on at-home monitoring services to support daily life. One of the main research fields is to develop an autonomous mobile robot with the tasks detection, tracking, observation and analysis of the subject of interest in the indoor environment. The main challenges in such daily monitoring application, thus in visual search, are that the robot should track the subject successfully in several severe varying conditions. Recent color and depth image based visual search methods can help to handle part of the problems, such as changing illumination, occlusion, and etc. but these methods generally use large amount of training data by checking the whole scene with high redundancy to find the region of interest. Therefore, inspired by the idea that spatial memory can reveal novelty regions for finding the attention points as in Human Visual System (HVS), we proposed a simple and novel algorithm that integrates Kinect and Lidar(Light Detection And Ranging) sensor data to detect and track novelties using the environment map of the robot as a topdown approach without the necessity of large amount of training data. Then, novelty detection and tracking is achieved based on space based saliency map representing the novelty on the scene. Experimental results demonstrated that the proposed visual attention based scene analysis can handle various conditions stated and achieve high accuracy of novelty detection and tracking.

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Progress in developing a socially assistive mobile home robot companion for the elderly with mild cognitive impairment

Cited by 77 publications

References 12 publications

Ranger, An Example of Integration of Robotics into the Home Ecosystem

Ranger, An Example of Integration of Robotics into the Home Ecosystem

Real-Time Range Imaging in Health Care: A Survey

Top-down Spatial Attention for Visual Search: Novelty Detection-Tracking Using Spatial Memory with a Mobile Robot

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