1. An Architecture to support Wearables in Education and wellbeing
Fernando Luís-Ferreira, Andreia Artifice, Gary McManus, Joao Sarraipa,
Fernando Luís Ferreira
Portugal
CELDA 2017
18 – 21 October 2017, Vilamoura, Portugal

2. Background Observation
Considerations - I
Technological devices help extending a person’s sensorial experience
Wearables and other gadgets are full of sensors
Accelerometers, cameras, physiological sensors, etc.
Those are available and have wide range of applications
It can be configured, adapted and used for the most diverse applications and goals
Fernando Ferreira
CELDA 2017

3. Background Observation
Considerations – II
Emotional assessment is a useful tool
Emotional states (E.S.) can be inferred
Physiological measurements give clues about E.S.
Emotions have impact on many (all?) cognitive processes
Emotional assessment is a valuable tool on:
Evaluate students motivation and engagement on learning activities
Evaluate elder mental states
Monitor health risks from young to elder people
Fernando Ferreira
CELDA 2017

4. Background Observation
Considerations – III
With the emergence of IoT connected devices are everywhere
Devices are used for fitness
For health monitoring
For sports improvement
But they can also prevent students dropout, and
They can be used for safety of Alzheimer patients
Fernando Ferreira
CELDA 2017

5. Background Observations -> to research question
Can we use the same pervasive devices and solutions to address both
Students at risk of dropout (ACACIA Project)?
and
Older persons with Alzheimer (CARELINK Project)?
Fernando Ferreira
CELDA 2017

6. Hypothesis
Would it be Possible to come up with an architectural solution that help students and elder people at risk?
Fernando Ferreira
CELDA 2017

7. Our Proposal - I
We propose: an architecture that have multiple finalities The proposed architecture can be used from coaching of students and elder assistance on lifelong learning activities while ensuring health safety and security.
Fernando Ferreira
CELDA 2017

8. Our Proposal
Fernando Ferreira
CELDA 2017

9. Proposed Solution - I Two approaches are considered:
A Local System (L.S.) – that captures information from local sensors, either in smarphones or connected (e.g. wi-fi, bluetooth).
Remote Reasoning System (R.R.S) – Accessed by web-services supported by the cloud.
Fernando Ferreira
CELDA 2017

10. Proposed Solution - II Local System
Uses known algorithms over heartrate to provide clues about a person’s Emotional State
Not aiming emotions but seeking for responsiveness to external stimuli.
- Important to evaluate student’s attention and boredom.
– Important to evaluate elder’s cognitive activity.
Fernando Ferreira
CELDA 2017

11. Proposed Solution - III
Remote Reasoning System Accessed by web services uses data from local sensors and existing knowledge/recommendation - Comprises data mining, data extraction and sensory fusion - Are supported by machine learning, deep learning or other A.I. related approaches
Fernando Ferreira
CELDA 2017

12. Conclusions
The proposed solution is based on results from ACACIA project since CARELINK project is in early stages. Results already achieved were tested in CADEP centers in South America (CARELINK project). Promising results from analysis of Heartrate variation along with other measurements (e.g. Galvanic skin response, blood pressure).
Fernando Ferreira
CELDA 2017

13. Future Work
Will include a wider usage of available data sources (e.g. local cameras, sound capture, text and type emotional detection)
Extend the reasoning over remote advanced and evolutionary systems
Fernando Ferreira
CELDA 2017

14. Fernando Luís Ferreira
Thank you!
Questions??
Fernando Luís Ferreira
Fernando Ferreira
CELDA 2017