Cooking Procedure Recognition and Support by Ubiquitous Sensors

Murakami, Sho; Suzuki, Takuo; Tokumasu, Akira; Nakauchi, Yasushi

doi:10.20965/jrm.2009.p0498

Cited by 13 publications

(6 citation statements)

References 7 publications

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“…For the comparison work in conventional everyday-service systems, usually they need a well prepared scenario to provide service [27]. In this scenario, conditional expression must be change when object are added or reduced.…”

Section: Resultsmentioning

confidence: 99%

“…There are several works in how robot system deals with an object. Most of them are applying a single action in response to single command [27]. As well as our daily live, living with robots in robotic environment such as a u-RT Space as shown in Fig.2, user's command may involve many different tasks, instead of single command, depending on situation, for example "if raining outside, bring me umbrella" task.…”

Section: Related Researchmentioning

confidence: 99%

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An Approach for Robots to Deal with Objects

Hidayat¹,

Kim²,

Ohba³

2012

IJCSIT

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Section: Resultsmentioning

confidence: 99%

Section: Related Researchmentioning

confidence: 99%

An Approach for Robots to Deal with Objects

Hidayat¹,

Kim²,

Ohba³

2012

IJCSIT

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“…In the COACH system, the hand washing activity is constrained on area around a bathroom sink where the cameras and sensors are placed [6]. Similarly in another research, sensors were focused around kitchen worktop and other areas where meals are usually being prepared [22]. The reward value includes a coefficient from the environmental model where describes the detection success rate of a specific sensor.…”

Section: Determining States and Rewardsmentioning

confidence: 99%

Activity Support Framework for People with Dementia Based on Markov Decision Process

Sarni

Pulli

2015

2015 International Conference on Intelligent Environments

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Ambient assisted living technologies (AALT) are considered to offer means for reducing health care burden to societies by prolonging capability for independent living and by improving the quality of life for elderly persons suffering from dementia and their caregivers. This research presents a novel activity support framework for transforming cooking activities in to workflow process models optimized for people suffering from dementia. This is achieved by first splitting a cooking activity in to tasks composed of set of basic actions. Due to nature of dementia, actions taken by a care recipient can be considered to be stochastic. This research presents a model of a care recipient suffering from dementia based on data from literature. The model contains probability distribution of possible outcomes mapped to available basic actions in a cooking activity. This allows the use of Markov decision process (MDP) to determine optimal sequence of actions to perform a cooking activity. The resulting process models can be used as set of instructions by a prompting system or as a process model for a belief monitor type of AALTs. The designed framework was tested by comparing manually constructed and verified process model to one produced by a test computer program. Further research is needed to refine the care recipient model, study transforming cooking recipes into cooking activity models and to validate the framework in real-world settings.

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“…Murakami [4] applied text mining techniques to build the model of cooking procedures based on recipes description. This algorithm depends on hand-crafted text data taken from cookbooks so it may not to adapt to human activities.…”

Section: Related Researchmentioning

confidence: 99%

“…In [4] cooking support system performed cooking procedure recognition and provides suggestion via interactive display screen. In [5] librarian robot was designed to arrange books on bookshelves.…”

Section: Introductionmentioning

confidence: 99%

Development and evolution of RT ontology for automatic service generation system in Kukanchi

Ngo

Ukai

Mizukawa

2010

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

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This paper presents a novel approach for RT Ontology development, including ontology learning and evolution mechanism. In service robotics systems, understanding the relationship between everyday objects and user intention is the key feature to provide suitable services according to context. RT Ontology has shown to be an efficient technique to represent this relationship. In the proposed method, text corpus grabbed from search engines and lightweight natural language processing techniques were used for term extraction and enabling RT Ontology automatic creation. On the other hand, ontology evolution mechanism is introduced. With these learning and evolution capabilities, the presented RT Ontology model may adapt dynamically to the changes of environment and human activities. This will help to improve the robustness of current RT service generation systems, while reduce much of required labor work for ontology development. Experiments were conducted to show the effectiveness of proposed method.

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Cooking Procedure Recognition and Support by Ubiquitous Sensors

Cited by 13 publications

References 7 publications

An Approach for Robots to Deal with Objects

An Approach for Robots to Deal with Objects

Activity Support Framework for People with Dementia Based on Markov Decision Process

Development and evolution of RT ontology for automatic service generation system in Kukanchi

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