作者為商業發展研究院數位創新系統服務中心主任

國際消費者聯盟指出全球不健康的飲食每年導致的死亡人數，已比菸害更為嚴重；肥胖的問題，每年估計造成2兆美元損失。美國華盛頓大學研究人員表示，僅2015年數據發現，缺乏健康飲食或攝取大量不健康食物或許和40多萬心血管疾病存有直接相關。健康飲食習慣的養成及持續，向來是知易行難的，運用數位科技，可以幫助人們做得更好。

食物圖像識別技術

Clarifai運用人工智能技術發布食物識別模型，透過圖像識別技術，幫助消費者或企業辨識食物特性、健康與否。不僅可應用於餐飲、食譜烹調建議，對於餐飲評論平台而言，運用這套模型可以自動分類用戶的照片及評論，提供用戶健康資訊。對於餐廳而言，這套模型也能提供用戶分析，了解那些餐點最受歡迎。

VR訓練避開食物中毒

世貿組織的統計，每年有6億人在食用受污染的食物後患有疾病。解決這個問題的一種方法是改善食品衛生培訓。過去VR的應用主要在提供危險工作模擬如飛行員訓練，美國郵政部門也運用VR技術來培訓司機，事實也證明可減少道路交通事故。近年歐盟調查數據發現，食源性疾病發生率不降反增，主要原因是由於食品供應鏈缺乏衛生實踐。藉由虛擬實境技術，讓相關從業人員進行適當的培訓，解決潛在致命疾病隱憂。

在虛擬現實培訓中，受訓學員扮演一位廚師，必須準備食物並確保食品安全，必須隨時注意洗手、清潔及消毒；或當老鼠襲擊廚房而沒有做適當的處理時，也會發現它的顧客開始生病。透過沉浸式體驗，讓學員有機會練習他們的知識並且觀察行為的後果，由錯誤中學習。

AI提醒你吃飯喝水

矽谷新創公司KLUE於2018年5月宣布與史丹福大學和快速醫療門診服務Crossover Healthy公司合作，利用智慧型手機軟體監測手腕動作來改善飲食習慣提升健康。透過監測吃飯、喝水的頻率，來了解用戶是否有良好的飲食習慣。KLUE公司會透過AI蒐集來的數據以告知使用者要加強或避免那些飲食動作。

超微型傳感器，監控你的飲食攝取

塔夫斯大學工程學院的研究人員團隊著手創建一個更好的監測膳食攝取量的解決方案。過去監測飲食的穿戴設備較不方便，需要戴著護口器、裝上麻煩的線路，或是頻繁更換感應器。塔夫茨大學Peter Tseng及Fiorenzo Omenetto教授團隊，將一般常用的無線射頻辨識技術（RFID）進行擴充應用，開發出一套更簡便實用的穿戴偵測裝置，大小僅2×2平方公釐，並可緊密貼合在牙齒的不規則表面上。

透過超微型牙齒傳感器，能夠監測、紀錄你吃的東西，當微型的金屬片直接安裝在牙齒上，並與行動設備無線通信連結時，可以傳輸有關葡萄糖，鹽和酒精攝取量的資訊裝上這個感應器，就能即時偵測回報。研究人員指出，未來對這些傳感器的改進可以實現對各種營養素，化學物質和生理狀態的檢測和記錄，例如追蹤牙齒健康，或是從唾液取樣來檢測疲勞。這些傳感器甚至可以發送信號給用戶的車輛，當監測到酒精濃度過量時，直接停止車輛的啟動。

雖然人們對健康飲食多有正確的認知，但也容易放縱或放棄，透過數位技術的支援，幫助人們堅持良好的習慣，甚至能預防危急時刻發生。

The author is the director of the Digital Innovation System Service Center of the Business Development Institute.

The International Consumers Union points out that the number of deaths caused by unhealthy diets worldwide is more serious than tobacco smoke each year; the problem of obesity is estimated to result in a loss of $2 trillion per year. Researchers at the University of Washington in the United States said that only 2015 data found that lack of healthy diet or intake of large amounts of unhealthy food may be directly related to more than 400,000 cardiovascular diseases. The development and persistence of healthy eating habits has always been difficult to understand. Using digital technology can help people do better.

Food image recognition technology

Clarifai uses artificial intelligence technology to publish food recognition models to help consumers or businesses identify food characteristics and health through image recognition technology. Not only can it be applied to catering and recipe cooking suggestions. For the catering review platform, this model can automatically classify users' photos and comments and provide user health information. For restaurants, this model also provides user analysis to understand which meals are most popular.

VR training avoids food poisoning

According to WTO statistics, 600 million people suffer from diseases every year after eating contaminated food. One way to solve this problem is to improve food hygiene training. In the past, the application of VR was mainly to provide dangerous work simulations such as pilot training, and the US Postal Service also used VR technology to train drivers. It has also proved that road traffic accidents can be reduced. In recent years, the EU survey data found that the incidence of foodborne diseases did not decrease, mainly due to the lack of health practices in the food supply chain. Through virtual reality technology, relevant practitioners can be properly trained to solve potential fatal diseases.

In virtual reality training, the trainee plays a chef, must prepare food and ensure food safety, must always pay attention to hand washing, cleaning and disinfection; or when the mouse attacks the kitchen without proper treatment, it will also find its customers begin sick. Through the immersive experience, students have the opportunity to practice their knowledge and observe the consequences of behavior, learning from mistakes.

AI reminds you to eat and drink

In May 2018, Shibuya startup KLUE announced a partnership with Stanford University and Crossover Healthy, a fast medical clinic that uses smart phone software to monitor wrist movements to improve eating habits and improve health. By monitoring the frequency of eating and drinking, to understand whether users have good eating habits. KLUE will collect data from AI to inform users to strengthen or avoid those diet actions.

Ultra-miniature sensors to monitor your dietary intake

The team of researchers at Tufts University's School of Engineering set out to create a better solution for monitoring dietary intake. In the past, it was inconvenient to monitor the wearing of the food, and it was necessary to wear a mouthguard, install a troublesome line, or frequently change the sensor. The team of Professor Peter Tseng and Fiorenzo Omenetto from Tufts University has expanded the commonly used Radio Frequency Identification (RFID) technology to develop a more convenient and practical wear detection device measuring only 2 x 2 mm ^ 2 It fits snugly against the irregular surface of the teeth.

Through the ultra-miniature tooth sensor, you can monitor and record what you eat. When the miniature metal piece is directly attached to the tooth and wirelessly connected with the mobile device, it can transmit information about the intake of glucose, salt and alcohol. The sensor can instantly detect the return. Researchers have pointed out that future improvements to these sensors enable the detection and recording of various nutrients, chemicals and physiological conditions, such as tracking dental health, or sampling from saliva to detect fatigue. These sensors can even send signals to the user's vehicle, stopping the start of the vehicle directly when excessive alcohol concentration is detected.

Although people have a correct understanding of healthy eating, they are also easy to indulge or give up. Through the support of digital technology, people can adhere to good habits and even prevent emergencies.

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