Lunch seminar given at the e-media reserach lab (KU Leuven), May 2019. The seminar gives an overview of the current state of Skweezee and my PhD research.

1. May 2019—M17
SKWEEZEE

2. The adoption of Squeezable Squeeze Interactions for
in Health Care Applications
In this PhD project, we aim to investigate how to further empower
health care professionals and patients, by extending and optimizing
the Skweezee technology. In this PhD, you will investigate how
sensors, e-textiles, and machine learning techniques can be used to
improve and enable rich squeeze interactions. Moreover, you will
engage in a participatory design approach, in which you carefully
collaborate with health care professionals and patients to ensure a
values-led, user driven design of a DIY platform. You will explore
and test how the system can be incorporated in therapy and how it
can be adapted to the needs of the client. The goal is to build a DIY
platform with low floors, a high ceiling and wide walls.

3. The adoption of Squeezable Squeeze Interactions for
in Health Care Applications
In this PhD project, we aim to investigate how to further empower
health care professionals and patients, by extending and optimizing
the Skweezee technology. In this PhD, you will investigate how
sensors, e-textiles, and machine learning techniques can be used to
improve and enable rich squeeze interactions. Moreover, you will
engage in a value-sensitive design participatory design approach, in
which you carefully collaborate with health care professionals and
patients to ensure a values-led, user driven design of a DIY
platform. You will explore and test how the system can be
incorporated in therapy and how it can be adapted to the needs of
the client. The goal is to build a DIY platform with low floors, a high
ceiling and wide walls.

5. Squeeze Interaction

6. “SRI’s first computer mouse prototype” by SRI International (CC BY-SA 3.0)
Technology

7. The world

8. by Sara Kurfeß on Unsplash

10. “Seinfeld dissing Blackberry and iPhones”

11. Material Coupling Experience

12. SQUEEZEuser object

13. Experiments

14. Skweezee

17. 5V
Vx
R
wolwool

19. Grootte
amplitude
mag()
Richting
vorm
dir()
Maximum
max grootte
max()
Gemiddelde
filter
avg()
Standaardafwijking
stabiliteit
stdev()
Verschil
verandering
diff()
Norm
gemiddelde tov max
norm()
Inverse
omgekeerde norm
inv()
Kwadraat
benadruk ‘hard’
square()
Vierkantswortel
benadruk ‘licht’
root()
Meting
ruwe data
raw()
Vector
in vectorruimte
vector()
Registreer
neem momentopname
rcd()
Herken
vergelijk met momentopname
rcg()
Skweezee
e.netBert Vandenberghe, Kathrin Gerling, Vero Vanden Abeele, Luc Geurts

20. Grootte
amplitude
mag()
Richting
vorm
dir()
Maximum
max grootte
max()
Gemiddelde
filter
avg()
Standaardafwijking
stabiliteit
stdev()
Verschil
verandering
diff()
Norm
gemiddelde tov max
norm()
Inverse
omgekeerde norm
inv()
Kwadraat
benadruk ‘hard’
square()
Vierkantswortel
benadruk ‘licht’
root()
Meting
ruwe data
raw()
Vector
in vectorruimte
vector()
Registreer
neem momentopname
rcd()
Herken
vergelijk met momentopname
rcg()
Skweezee
e.netBert Vandenberghe, Kathrin Gerling, Vero Vanden Abeele, Luc Geurts

21. Grootte
amplitude
mag()
Richting
vorm
dir()
Maximum
max grootte
max()
Gemiddelde
filter
avg()
Standaardafwijking
stabiliteit
stdev()
Verschil
verandering
diff()
Norm
gemiddelde tov max
norm()
Inverse
omgekeerde norm
inv()
Kwadraat
benadruk ‘hard’
square()
Vierkantswortel
benadruk ‘licht’
root()
Meting
ruwe data
raw()
Vector
in vectorruimte
vector()
Registreer
neem momentopname
rcd()
Herken
vergelijk met momentopname
rcg()
Skweezee
e.netBert Vandenberghe, Kathrin Gerling, Vero Vanden Abeele, Luc Geurts

22. Grootte
amplitude
mag()
Richting
vorm
dir()
Maximum
max grootte
max()
Gemiddelde
filter
avg()
Standaardafwijking
stabiliteit
stdev()
Verschil
verandering
diff()
Norm
gemiddelde tov max
norm()
Inverse
omgekeerde norm
inv()
Kwadraat
benadruk ‘hard’
square()
Vierkantswortel
benadruk ‘licht’
root()
Meting
ruwe data
raw()
Vector
in vectorruimte
vector()
Registreer
neem momentopname
rcd()
Herken
vergelijk met momentopname
rcg()
Skweezee
e.netBert Vandenberghe, Kathrin Gerling, Vero Vanden Abeele, Luc Geurts

23. norm
inv
square
root

24. Grootte
amplitude
mag()
Richting
vorm
dir()
Maximum
max grootte
max()
Gemiddelde
filter
avg()
Standaardafwijking
stabiliteit
stdev()
Verschil
verandering
diff()
Norm
gemiddelde tov max
norm()
Inverse
omgekeerde norm
inv()
Kwadraat
benadruk ‘hard’
square()
Vierkantswortel
benadruk ‘licht’
root()
Meting
ruwe data
raw()
Vector
in vectorruimte
vector()
Registreer
neem momentopname
rcd()
Herken
vergelijk met momentopname
rcg()
Skweezee
weezee.netBert Vandenberghe, Kathrin Gerling, Vero Vanden Abeele, Luc Geurts
a1 a2 an b1
b2
bn
· = a1 b1 + a2 b2 + + anbn = |a||b| · cos(θ)
θ
a
b
calar product a · b :

25. Grootte
amplitude
mag()
Richting
vorm
dir()
Maximum
max grootte
max()
Gemiddelde
filter
avg()
Standaardafwijking
stabiliteit
stdev()
Verschil
verandering
diff()
Norm
gemiddelde tov max
norm()
Inverse
omgekeerde norm
inv()
Kwadraat
benadruk ‘hard’
square()
Vierkantswortel
benadruk ‘licht’
root()
Meting
ruwe data
raw()
Vector
in vectorruimte
vector()
Registreer
neem momentopname
rcd()
Herken
vergelijk met momentopname
rcg()
Skweezee
weezee.netBert Vandenberghe, Kathrin Gerling, Vero Vanden Abeele, Luc Geurts
VECTOR
SHAPE
TIME SERIES TRANSFORM
Vandenberghe B, Gerling K, Geurts L, Vanden Abeele V. (2019). Skweezee for Processing:
A Software Library to Make Squeeze Interactions. In proc. TEI 2019. ACM.

26. Squeeze Computer game
Perceptual motor skills
conductive
wool
Arduino with
sensor shield
Processing
library
Processing
application
Vandenberghe B, Vanden Abeele V, Gerling K, Geurts L, & Devleminck S (2019). Interactive Technology
as Toolkit—Structure of Communication, Senseware, and Research Strategy. In proc. ISEA 2019.

27. Grootte
amplitude
mag()
Richting
vorm
dir()
Maximum
max grootte
max()
Gemiddelde
filter
avg()
Standaardafwijking
stabiliteit
stdev()
Verschil
verandering
diff()
Norm
gemiddelde tov max
norm()
Inverse
omgekeerde norm
inv()
Kwadraat
benadruk ‘hard’
square()
Vierkantswortel
benadruk ‘licht’
root()
Meting
ruwe data
raw()
Vector
in vectorruimte
vector()
Registreer
neem momentopname
rcd()
Herken
vergelijk met momentopname
rcg()

28. OPEN SOURCE

29. Case Study ‘Windekind’

32. Future Work

33. 2018 2019 2020 2021
Processing
Model
WP3
WP5 Volunteering
HCD
Eval
1st contact Q setup Q RSMEC R
UnityArduino Scratch LittleBitsmaterial actuators
analysis
card deck
instructions
36Report 21M9M3
doctoral diary
Machine learning ExploitationEthnography 1 Ethnography 2
PhD Plan
WP0
Analysis
Literature
Workbook
Software
PhotosWP1
WP2
Lit. Rev. 1 Rework
Model
Lit. Rev. 2
Volunteering
Design
Eval
1st contact Q setup Q R
WP4
QSMEC R
blog + social media
github
skweezee.net + GitHub
ESAT eMedia
Bachelor’s Thesis Master’s Thesis VR Master’s Thesis littleBits?
ISEA
FP
TEI
FP
TEI
FP
CHI
FP
MFaire
prop
MFaire
zomerkamp zomerkamp
Valorisation Dissertation
WP6
Research Questions
Analysis
Lab experiment
Iterate Develop Deploy
Q
Master’s Thesis foam (UGent)?
TEI
WIP
final conf
final
TEI
FP
TEI
DC
zomerkamp