Smart Cart: When Food Enters the IoT Scenario

People barely know what they eat and drink: product labels are written with small characters and with a difficult terminology. As a result, people spend too much time reading labels or avoid reading them at all. To connect food data with people we design of a food IoT (Internet of Things) scenario, where a smart cart tells us if the food product we are about to buy meet our preferences or not. In particular, we first perform a real-world study to understand consumers’ behavior while they shop; then we design a food IoT scenario and we use current technologies to investigate its feasibility. Results show that people would appreciate a tool able to help them connecting with food data and also show that current technologies are sufficient to create a food IoT scenario.

[1]  Geraldine Fitzpatrick,et al.  Situated and mobile displays for reflection on shopping and nutritional choices , 2014, Personal and Ubiquitous Computing.

[2]  Li An,et al.  Meat-productions tracking and traceability system based on internet of things with RFID and GIS. , 2010 .

[3]  Mario Gerla,et al.  A survey on interactive games over mobile networks , 2013, Wirel. Commun. Mob. Comput..

[4]  Juan I. Nieto-Hipólito,et al.  A proposal for using the internet of things concept to increase children's health awareness , 2012, CONIELECOMP 2012, 22nd International Conference on Electrical Communications and Computers.

[5]  Oliver Günther,et al.  Security challenges of the EPCglobal network , 2009, CACM.

[6]  Marco Furini,et al.  Location privacy and public metadata in social media platforms: attitudes, behaviors and opinions , 2014, Multimedia Tools and Applications.

[7]  Yongjian Yang,et al.  The design of food quality supervision platform based on the Internet of Things , 2011, Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE).

[8]  Li Liu,et al.  Internet of Food , 2011, 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing.

[9]  Marco Furini,et al.  TRank: Ranking Twitter users according to specific topics , 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

[10]  Marco Furini.  Users Behavior in Location-Aware Services: Digital Natives versus Digital Immigrants , 2014, Adv. Hum. Comput. Interact..