The term “IoT” has evolved to
encompass a wide range of diffuse concepts, but the common thread among the
myriad definitions has been the convergence of technology to bring <i>advanced conveniences</i> to our every day,
but complicated, lives. A long-term focus of the Collaborative Robotics Lab,
and a particular focus of many with interests in consumer assistance, has been
the kitchen, which acts as the “nerve center” of the home in many cultures. However,
despite the grand vision of revolutionizing the kitchen and improving our
lifestyles with technology, what today’s IoT-integrated appliances and
kitchen-focused conveniences offer is mainly limited to a remote control. While remote control is certainly convenient,
it still requires human planning in both cognitive and physical loads in
performing cooking activities. The goal of this thesis is to build a framework of
the network of IoT-enabled kitchen appliances, <i>TupperwareEarth</i> for the
“Internet of Kitchen Things” integrated with an inference engine that utilizes
ontology as a knowledge database. From
simple clustering of sensor data to recommender systems that employ
crowd-sourced preference data, the cognitive burden is reduced with proactive
suggestions to high-level queries based upon the current kitchen state. Through
the progression of the studies in the “Internet of Kitchen Things,” <i>TupperwareEarth
</i>aims to reduce human planning that involves both cognitive and physical
loads of burden by inferring solutions to the activities of daily kitchen
living using ontological semantics.
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/13366253 |
| Date | 14 December 2020 |
| Creators | Sangjun Eom (9760784) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/TupperwareEarth_Knowledge-Based_Ontological_Semantics_for_the_Internet_of_Kitchen_Things_/13366253 |
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