Augmented Reality Based Interactive Cooking Guide

Majil, Isaias; Yang, Mau-Tsuen; Yang, Sophia

doi:10.3390/s22218290

Cited by 8 publications

(3 citation statements)

References 19 publications

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“…Apps can offer personalized recipe recommendations, shopping lists, and step-by-step cooking guidance [70]. Virtual reality could simulate cooking experiences for skill practice, and augmented reality could provide interactive elements in cooking, like overlaying cooking steps on real-time footage [71,72].…”

Section: Discussionmentioning

confidence: 99%

Sustainable Culinary Skills: Fostering Vegetable-Centric Cooking Practices among Young Adults for Health and Environmental Benefits—A Qualitative Study

Roy,

Alsaie,

Malloy

et al. 2024

Sustainability

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With young adults (18–30 years) having low vegetable intake, primarily due to inadequate cooking skills, this study aims to explore the usability and desirability of educational tools, such as written recipes and cooking videos, to foster sustainable eating habits. Employing a descriptive, qualitative, and user-centered design, three focus groups were held at a major urban university campus in New Zealand, engaging students and staff within the target age group. Discussions with 15 participants identified key facilitators of vegetable-based cooking, including access to ingredients, ease of recipe visualization, and cost-effectiveness. Consequently, 13 vegetable-centric recipes and instructional videos were created, incorporating nutritional value, affordability, and preparation efficiency. These resources, tailored to young adults’ preferences, were designed to mitigate the identified barriers to vegetable use, contributing to sustainable food practices. The application of a user-centered approach in developing educational content yielded a set of recipes and videos that not only address the gaps in cooking skills among young adults but also promote the broader goals of sustainability in food consumption patterns. This approach offers actionable insights for practitioners and food marketers to enhance vegetable utilization and sustainable eating behaviors in this demographic.

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Section: Discussionmentioning

confidence: 99%

Sustainable Culinary Skills: Fostering Vegetable-Centric Cooking Practices among Young Adults for Health and Environmental Benefits—A Qualitative Study

Roy,

Alsaie,

Malloy

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…In addition, new categories of objects will continue to be added to the dataset to satisfy the new identified needs. Finally, this could help users to make pre-defined recipes interactive [43], or even bring us closer to automating the entire cooking process.…”

Section: Discussionmentioning

confidence: 99%

Cooktop Sensing Based on a YOLO Object Detection Algorithm

Azurmendi

Zulueta

López-Guede

et al. 2023

Sensors

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Deep Learning (DL) has provided a significant breakthrough in many areas of research and industry. The development of Convolutional Neural Networks (CNNs) has enabled the improvement of computer vision-based techniques, making the information gathered from cameras more useful. For this reason, recently, studies have been carried out on the use of image-based DL in some areas of people’s daily life. In this paper, an object detection-based algorithm is proposed to modify and improve the user experience in relation to the use of cooking appliances. The algorithm can sense common kitchen objects and identify interesting situations for users. Some of these situations are the detection of utensils on lit hobs, recognition of boiling, smoking and oil in kitchenware, and determination of good cookware size adjustment, among others. In addition, the authors have achieved sensor fusion by using a cooker hob with Bluetooth connectivity, so it is possible to automatically interact with it via an external device such as a computer or a mobile phone. Our main contribution focuses on supporting people when they are cooking, controlling heaters, or alerting them with different types of alarms. To the best of our knowledge, this is the first time a YOLO algorithm has been used to control the cooktop by means of visual sensorization. Moreover, this research paper provides a comparison of the detection performance among different YOLO networks. Additionally, a dataset of more than 7500 images has been generated and multiple data augmentation techniques have been compared. The results show that YOLOv5s can successfully detect common kitchen objects with high accuracy and fast speed, and it can be employed for realistic cooking environment applications. Finally, multiple examples of the identification of interesting situations and how we act on the cooktop are presented.

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“…Computer vision can be used, for instance, to support medication management by reminding people to take their medications and provide instructions on dosage and timing. Additionally, computer vision can be utilized to help people prepare meals by guiding them through recipe instructions and providing auditory feedback on cooking times and temperatures (Majil et al, 2022). The use of computer vision in assistive technologies still faces a number of difficulties, nevertheless.…”

Section: Previous Work On Computer Vision In Assistive Technologies F...mentioning

confidence: 99%

Exploring the use of computer vision in assistive technologies for individuals with disabilities: A review

Sahoo,

Choudhury

2024

10.5267/j.jfs

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A wide range of obstacles faced by people with disabilities, such as visual impairment, motor disability, and communication difficulties, have shown significant promise for being addressed by computer vision. The state-of-the-art in computer vision-based assistive technology is examined in this report along with major future research topics and obstacles. In particular, this study explores how computer vision can be used for object recognition, navigation, facial recognition, sign language interpretation, and gesture-based control interfaces. It also discusses the benefits and drawbacks of various methodologies and technologies and offers examples of how computer vision can be incorporated into current assistive technologies to boost their efficacy. The ethical and privacy issues surrounding the use of computer vision in assistive technologies are covered in this study effort. The study also highlights the need for protocol standardization, better user-centered design, and the assessment of real-world effectiveness as future research objectives for improving the use of computer vision in assistive technology. Overall, this paper sheds light on how computer vision might completely alter the world of assistive technologies for people with impairments.

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Augmented Reality Based Interactive Cooking Guide

Cited by 8 publications

References 19 publications

Sustainable Culinary Skills: Fostering Vegetable-Centric Cooking Practices among Young Adults for Health and Environmental Benefits—A Qualitative Study

Sustainable Culinary Skills: Fostering Vegetable-Centric Cooking Practices among Young Adults for Health and Environmental Benefits—A Qualitative Study

Cooktop Sensing Based on a YOLO Object Detection Algorithm

Exploring the use of computer vision in assistive technologies for individuals with disabilities: A review

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