1. Discovering Activities of Daily Life Using RFID’s
Masters Thesis
Sandor Dornbush

2. Overview What are activities of daily life and why do we care?
How it’s been done in the past.
How to use RFID to determine ADLs.
How I will do it better.
Filip Perich
2/16/2019

3. Activities of Daily Life
ADL
It’s what we do every day.
Brush teeth
Eat
Sleep
Etc.
Filip Perich
2/16/2019

4. Who Cares About ADLs? Mostly senior care.
Gives children and care givers a way to remotely monitor a senior citizens life.
Allows senior citizens to live independently longer.
Also useful for smart spaces.
Filip Perich
2/16/2019

5. Overview What are activities of daily life and why do we care?
How it’s been done in the past.
How to use RFID to determine ADLs.
How I will do it better.
Filip Perich
2/16/2019

6. Previous Techniques Machine Vision Motion Detectors
Imbed cameras into the living space.
Try to extract meaningful information from the video stream.
Very hard problem, low success rate.
Motion Detectors
Can only detect the region of the house that a person is in.
It’s possible to infer activities, but with low success rate.
Filip Perich
2/16/2019

7. Overview What are activities of daily life and why do we care?
How it’s been done in the past.
How to use RFID to determine ADLs.
How I will do it better.
Filip Perich
2/16/2019

8. Philipose Et Al. Put RFID tags on important objects in the house.
Create a wearable tag reader.
Currently a glove. I imagine a bracelet being the final form.
Can determine what objects a user has interacted with.
Filip Perich
2/16/2019

9. Determining ADLs from RFID Data
How can one map from a stream of RFID tag readings to a concrete ADL?
Philipose Et Al. Approach
Parse natural language recipes into a machine representation of a series of objects.
Combine those objects into a Bayesian Network.
Derive the probabilities of the Bayesian Network from the Google API.
Filip Perich
2/16/2019

10. Overview What are activities of daily life and why do we care?
How it’s been done in the past.
How to use RFID to determine ADLs.
How I will do it better.
Filip Perich
2/16/2019

11. Proposed Improvements
Software Only
I will not try to improve on the design of the glove reader.
Learning Systems
In the study the participants recorded their activities to check the accuracy of their system. These records can be used for supervised learning.
Instead of Bayesian Networks from the Google API try a variety of techniques.
Genetic Algorithms
Learning Bayesian Networks
Decision Trees
Neural Networks
Filip Perich
2/16/2019

12. Personal Vs. General
A learning system could learn the behaviors of the user.
Personalization could provide higher accuracy.
For example; if a person drinks their tea black, interacting with the refrigerator should not indicate that they may be making tea.
Filip Perich
2/16/2019

13. Knowledge Representation
Express the recipe for an ADL in a concise machine readable format.
XML or RDF
Provides more precise representation of the ADL.
Allows for more attributes, such as duration of the ADL.
Filip Perich
2/16/2019