Cooking procedure recognition and support system by intelligent environments

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

doi:10.1109/riiss.2009.4937913

Cited by 10 publications

(4 citation statements)

References 5 publications

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“…The system can automatically provide video instructions to the user according to the detected movements of the user. The user needs not check the cook book step by step [16].…”

Section: Rfid Applicationsmentioning

confidence: 99%

Smart Object Reminders with RFID and Mobile Technologies

Hsu

Lee

Hung

et al. 2011

Mobile Information Systems

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Abstract. In this paper, we present a reminder system that sends a reminder list to the user's mobile device based on the history data collected from the same user and the events in the user's calendar on that day. The system provides an individualized service. The list is to remind the user with objects he/she might have forgotten at home. The objects that the user brings along with are detected by passive RFID technology. Objects are classified into three different levels based on their frequencies in the history data. Rules of the three levels are then followed to decide if a certain object should be in the reminder list or not. A feedback mechanism is also designed to lower the possibility of unnecessary reminding.

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“…The system can automatically provide video instructions to the user according to the detected movements of the user. The user needs not check the cook book step by step [16].…”

Section: Rfid Applicationsmentioning

confidence: 99%

Smart Object Reminders with RFID and Mobile Technologies

Hsu

Lee

Hung

et al. 2011

Mobile Information Systems

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show abstract

“…In addition, to the best of our knowledge, no ATC was commercially available at that time to support meal preparation by persons with TBI. Although descriptions of 3 prototypes had been published in peer-reviewed journals [19][20][21][22], they could not be used in the context of this project, as they had not been researched, designed, or adapted to the needs of individuals with TBI. For instance, the first technology used a robot and did not provide assistance adapted to the needs of persons with TBI [19].…”

Section: Introductionmentioning

confidence: 99%

Development of an Assistive Technology for Cognition to Support Meal Preparation in Severe Traumatic Brain Injury: User-Centered Design Study

Pinard¹,

Bottari²,

Laliberté³

et al. 2022

JMIR Hum Factors

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Background Although assistive technology for cognition (ATC) has enormous potential to help individuals who have sustained a severe traumatic brain injury (TBI) prepare meals safely, no ATC has yet been developed to assist in this activity for this specific population. Objective This study aims to conduct a needs analysis as a first step in the design of an ATC to support safe and independent meal preparation for persons with severe TBI. This included identifying cooking-related risks to depict future users’ profiles and establishing the clinical requirements of the ATC. Methods In a user-centered design study, the needs of 3 future users were evaluated in their real-world environments (supported-living residence) using an ecological assessment of everyday activities, a review of their medical files, a complete neuropsychological test battery, individual interviews, observational field notes, and log journals with the residents, their families, and other stakeholders from the residence (eg, staff and health professionals). The needs analysis was guided by the Disability Creation Process framework. Results The results showed that many issues had to be considered for the development of the ATC for the 3 residents and other eventual users, including cognitive issues such as distractibility and difficulty remembering information over a short period of time and important safety issues, such as potential food poisoning and risk of fire. This led to the identification of 2 main clinical requirements for the ATC: providing cognitive support based on evidence-based cognitive rehabilitation to facilitate meal preparation and ensuring safety at each step of the meal preparation task. Conclusions This needs analysis identified the main requirements for an ATC designed to support meal preparation for persons with severe TBI. Future research will focus on implementing the ATC in the residence and evaluating its usability.

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“…Nakauchi et al [7] have developed a system that uses temperature sensor heat adjustment and also camera to visualize the recipe. S. S Lad et al [8] used a food mixing machine that is operated using a Arduino microcontroller that controls the process and the motor drives.…”

Section: Introductionmentioning

confidence: 99%

Automatic Cooking Machine using Arduino

S¹

2020

IJETER

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This research article focuses on the reduction of human effort by involving conversion of action into machine instructions. Using the microcontroller, motors & sensors, automation is achieved to a major extent in the cooking process. The Arduino Uno microcontroller is used here to interface all the sensors & motors in all the steps of the cooking process. The machine instructions are verified using proteus software and then executed.

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Cooking procedure recognition and support system by intelligent environments

Cited by 10 publications

References 5 publications

Smart Object Reminders with RFID and Mobile Technologies

Smart Object Reminders with RFID and Mobile Technologies

Development of an Assistive Technology for Cognition to Support Meal Preparation in Severe Traumatic Brain Injury: User-Centered Design Study

Automatic Cooking Machine using Arduino

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