Vivid room: human intention detection and activity support environment for ubiquitous autonomy

Nakauchi, Yasushi; Noguchi, Katsunori; Somwong, P.; Matsubara, Takashi; Namatame, Akira

doi:10.1109/iros.2003.1250723

Cited by 36 publications

(18 citation statements)

References 3 publications

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“…Another possibility is to install sensors in the environment to make the space around the robot intelligent. Nakauchi et al [91] developed a vivid room to detect human intentions and monitor human activities. Human behaviors are detected through many kinds of sensors at doors/drawers, micro-switches at chairs, ID tags on humans, and that information is collected by sensor server via RF-tag system and LAN.…”

Section: Future Research Directionsmentioning

confidence: 99%

Safe physical human robot interaction-past, present and future

2008

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When a robot physically interacts with a human user, the requirements should be drastically changed. The most important requirement is the safety of the human user in the sense that robot should not harm the human in any situation. During the last few years, research has been focused on various aspects of safe physical human robot interaction. This paper provides a review of the work on safe physical interaction of robotic systems sharing their workspace with human users (especially elderly people). Three distinct areas of research are identified: interaction safety assessment, interaction safety through design, and interaction safety through planning and control. The paper then highlights the current challenges and available technologies and points out future research directions for realization of a safe and dependable robotic system for human users.

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Section: Future Research Directionsmentioning

confidence: 99%

Safe physical human robot interaction-past, present and future

2008

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“…Proper techniques must be devised to recognise user tasks in order to assist her in timely and unobtrusive ways, without either being inappropriate or altering her habits. Nakauchi et al (2003) present a prototypical activity detection and support system. It consists in a room where all furniture elements are equipped with sensors connected to a machine learning system exploiting RFID tags.…”

Section: Related Workmentioning

confidence: 99%

If objects could talk: a novel resource discovery approach for pervasive environments

Ruta

Noia

Sciascio

et al. 2007

IJIPT

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Abstract:We propose to extend standard Radio Frequency IDentification (RFID) usage by storing semantically annotated data within RFID tags memory, so that objects may actually 'describe themselves' in a variety of scenarios. In particular here we exploit our approach to carry out an advanced matchmaking process using metadata stored in RFIDs. A 'fully backward compatible' modification to the original RFID data exchange protocol is presented, allowing to implement an advanced resource discovery framework. A compression algorithm specifically devised to ease embedding of annotated DIG description is also proposed. Motivations and benefits of the approach are outlined in a tracking of agricultural and food products case study.Keywords: RFID; Semantic Web; matchmaking; pervasive computing.Reference to this paper should be made as follows: Ruta, M., Di Noia, T., Di Sciascio, E., Scioscia, F. and Piscitelli, G. (2007) Biographical notes: Michele Ruta received the Laurea Degree in Electronic Engineering from Politecnico di Bari (Technical University of Bari) in 2002 and his PhD in InformationEngineering from the same University in 2007. His research interests include pervasive computing and ubiquitous web, mobile service discovery and composition, knowledge representation systems and applications for wireless ad-hoc contexts. On these topics he has co-authored various papers in international journals and conferences. He is involved in various research projects related to his research interests.Tommaso Di Noia is an Assistant Professor in Information Technology Engineering at Technical University of Bari (Politecnico di Bari). He got his PhD from Technical University of Bari. His main scientific interests include: description logics -theoretical and practical aspects; resource matchmaking; knowledge representation systems for electronic commerce; automatic (web) services discovery and composition; knowledge representation systems and applications for the semantic web. He co-authored papers which received the best paper award at conferences ICEC-2004 and IEEE CEC-EEE-2006.

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“…The main idea of these scenarios is to gather information about the environment of the people so that an intelligent system can keep track of their actions and their surroundings and can act when the person needs some assistance. The help received by the person can be on demand or alternatively the system can decide by itself when to take an action in order to assist people [16,7,4,8,13,14,11]. In addition, service robots can be available to assist people alongside the intelligent environment.…”

Section: Introductionmentioning

confidence: 99%

The Intelligent Room for Elderly Care

Mozos

Tsuji

Chae

et al. 2013

Natural and Artificial Models in Computation and Biology

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Abstract. Daily life assistance for elderly is one of the most promising and interesting scenarios for advanced technologies in the near future. Improving the quality of life of elderly is also some of the first priorities in modern countries and societies where the percentage of elder people is rapidly increasing due mainly to great improvements in medicine during the last decades. In this paper, we present an overview of our informationally structured room that supports daily life activities of elderly with the aim of improving their quality of life. Our environment contains different distributed sensors including a floor sensing system and several intelligent cabinets. Sensor information is sent to a centralized management system which processes the data and makes it available to a service robot which assists the people in the room. One important restriction in our intelligent environment is to maintain a small number of sensors to avoid interfering with the daily activities of people and to reduce as much as possible the invasion of their privacy. In addition we discuss some experiments using our real environment and robot.

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Vivid room: human intention detection and activity support environment for ubiquitous autonomy

Cited by 36 publications

References 3 publications

Safe physical human robot interaction-past, present and future

Safe physical human robot interaction-past, present and future

If objects could talk: a novel resource discovery approach for pervasive environments

The Intelligent Room for Elderly Care

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