朱浩華臺灣大學:資訊網路與多媒體研究所紀佩妤Chi, Pei-Yu (Peggy)Pei-Yu (Peggy)Chi2010-05-052018-07-052010-05-052018-07-052008U0001-3107200803095400http://ntur.lib.ntu.edu.tw//handle/246246/180648As a daily activity, home cooking is an act of care for family members. Most family cooks are willing to learn healthy cooking. However, learning healthy cooking knowledge and putting the learned knowledge into real cooking prac-tice are often difficult, due to non-trivial nutritional calculation of multiple food ingredients in a cooked meal. This work presents a smart kitchen with UbiComp technology to improve home cooking by providing calorie aware-ness of food ingredients used in prepared meals during the cooking process. Our kitchen is embedded with a calorie tracker that can track the number of calories in the used food ingredients. The calorie tracker is developed based on a hybrid sensing method that integrates weight sensing from load cells and im-age processing from cameras. Thus, the system can provide real-time calorie feedback to users through an awareness display. In this thesis, we have de-signed and implemented three applications of this smart kitchen, in which each of these three applications targets a different goal in raising user awareness on (1) nutrition facts, (2) used calories, and (3) used calories in consideration of nutritional balance. For evaluation, separate user studies were conducted on each of these applications. Our user study results suggested that providing real-time calorie awareness can be an effective means in helping family cooks maintain a healthy level of calories in their prepared meals.Acknowledgement ibstract iiiontents vist of Figures ixist of Tables xihapter 1 Introduction 1.1 Motivation 1.2 Problem and Proposed Solution 2.3 Design Challenges and Contribution 4.4 Thesis Organization 5hapter 2 User Requirements 7.1 Contextual Inquiry in a Home Kitchen 7.2 Cooking within a Proper Calorie Level 9.3 Task Analysis of Cooking Activity 11hapter 3 System Design and Implementation 17.1 Calorie Tracker Design 19.2 Weighing-sensing Surface 19.3 Camera Sensing 20.3.1 Weight-change Detection Algorithm 21.3.2 Camera Filtering Algorithm 23.3.3 Region Growing Algorithm 24.4 Cooking Activity Inference 25.5 Commonsense Reasoning 29.6 Assumptions and Limitations 30.7 Implementation and System Interfaces 31.8 Recognition Accuracy 32hapter 4 Awareness Display Applications and User Studies 35.1 Nutrition-fact-aware Display 35.1.1 Interface Design 36.1.2 User Study 37.1.3 Result and Discussion 37.2 Calorie-aware Display 38.2.1 Interface Design 38.2.2 User Study 41.2.3 Results and Discussion 45.3 Calorie-control-aided Display 49.3.1 Interface Design 50.3.2 User Study 51.3.3 Results and Discussion 55hapter 5 Lessons Learned 61.1 Challenges of Applying Technology to Home Cooking 61.1.1 Persuasive Technology to Family Cooks 61.1.2 Designing a “Smart” Kitchen 63.1.3 Conveying Design Rationale 65.2 Challenges of Interaction Design 66.2.1 Designing Proper Feedbacks 66.2.2 Engaging Users During Cooking Activity 67.3 Challenges of Educating Healthy Cooking 68.3.1 Grading of Ability 68.3.2 Considering Culture Differences in Cooking Behaviors 69.3.3 Learning Effects on Experienced vs. Inexperienced Cooks 70hapter 6 Related Work 71.1 Persuasive Technology on Health Behaviors 71.2 Enhancement of Cooking Experience 73.2.1 Augmented Kitchens 73.2.2 Augmented Recipes 74.3 Activity Recognition 76.3.1 Cooking Behavior Recognition 76.3.2 Recognition Using Commonsense reasoning 76hapter 7 Conclusion and Future Work 79eferences 81ist of Publications by the Author 89application/pdf1668153 bytesapplication/pdfen-US普及運算智慧型廚房Ubiquitous ComputingSmart EnvironmentsHomeHealthcareContext-Aware Computingthesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/180648/1/ntu-97-R95944005-1.pdf