Intelligent kitchen: cooking support by LCD and mobile robot with IC-labeled objects

Nakauchi, Yasushi; Fukuda, Tsukasa; Noguchi, Katsunori; Matsubara, Takashi

doi:10.1109/iros.2005.1545346

Cited by 48 publications

(20 citation statements)

References 6 publications

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“…Robotic devices have been used with children and elderly in wards at hospitals, as well as senior-citizens homes as companion entities [11,13], as a robotic pet for preschool children [16,34], and as automated home-helpers [14,21]. Hogan [15] details the therapeutic training of a damaged arm of a person with acquired brain damage (stroke) who is interacting with a robotic arm.…”

Section: Robotic Devices In Rehabilitation Therapy and Learningmentioning

confidence: 99%

Non-formal therapy and learning potentials through human gesture synchronised to robotic gesture

Petersson

Brooks

2007

Univ Access Inf Soc

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Children with severe physical disabilities have limited possibilities for joyful experiences and interactive play. Physical training and therapy to improve such opportunities for these children is often enduring, tedious and boring through repetition-and this is often the case for both patient and the facilitator or therapist. The aim of the study reported in this paper was to explore how children with a severe physical disability could use an easily accessible robotic device that enabled control of projected images towards achieving joyful experiences and interactive play, so as to give opportunities for use as a supplement to traditional rehabilitation therapy sessions. The process involves the capturing of gesture data through an intuitive non-intrusive interface. The interface is invisible to the naked eye and offers a direct and immediate association between the child's physical feed-forward gesture and the physical reaction (feedback) of the robotic device. Results from multiple sessions with four children with severe physical disability suggest that the potential of non-intrusive interaction with a multimedia robotic device that is capable of giving synchronized physical response offers additional opportunities, and motivated non-formal potentials in therapy and learning to supplement the field.

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Section: Robotic Devices In Rehabilitation Therapy and Learningmentioning

confidence: 99%

Non-formal therapy and learning potentials through human gesture synchronised to robotic gesture

Petersson

Brooks

2007

Univ Access Inf Soc

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“…Electronic tools and services started as simple aids, e.g., can opener, mixer, or refrigerators, but increasingly become more complex assistive devices [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…Cooking can be a social event but it is an individual task most of the time. Otl Aicher distinguishes four task categories with about 250 tasks that are performed in a kitchen: (1) preparation, (2) concocting, (3) cooking, and (4) arranging [4]. Here we focus on two tasks: weighing (preparation task) and mixing (concocting task).…”

Section: Introductionmentioning

confidence: 99%

Supporting Cooking Tasks by a Smart Formulation Table

Maaß

Filler

2010

2010 Sixth International Conference on Intelligent Environments

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Kitchen environments are target of many Ubiquitous Computing prototypes that investigate the application of technologies in real-world situations. In this paper, we present a design-driven approach that carefully analyzes domain theories, identifies requirements for human task support, derives services accordingly, and uses these descriptions for guiding implementations. We focus on how preparation and concocting tasks can be supported by a formulation table with integrated scaling mechanism and a set of dedicated information services. tangible user interfaces, intelligent environment, design method

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“…Nakauchi, et. al [8] estimate sequence of humans' cooking activities based on sequence of physical objects used. Nishida, et.…”

Section: Introductionmentioning

confidence: 99%

Observation of multiple objects based on human-object interaction in intelligent space

Niitsuma¹,

Kawaji²,

Hashimoto³

2008

2008 Conference on Human System Interactions

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This paper presents a method for multiple objects localization in the Intelligent Space (iSpace). The localization is realized by using two types of information. One is acceleration data which is used to determine whether an object is being operated. Acceleration data is acquired by using sensor network system. The other is hand position information of a nearest user to one object. By combining the information, positions of objects are able to be estimated by corresponding positions of user hands. In this method, determination of objects initial position is a first problem. In order to solve it, we use correlation of acceleration data among user hands and objects. Initial position of each object is given based on user's hand position which is scored high correlation.

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Intelligent kitchen: cooking support by LCD and mobile robot with IC-labeled objects

Cited by 48 publications

References 6 publications

Non-formal therapy and learning potentials through human gesture synchronised to robotic gesture

Non-formal therapy and learning potentials through human gesture synchronised to robotic gesture

Supporting Cooking Tasks by a Smart Formulation Table

Observation of multiple objects based on human-object interaction in intelligent space

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