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Design of an Innovative Hazard Warning Helmet for Elder Scooter Riders

Watson Hsu Professor Yu-Hsiu Hung


Society is Aging

In 2010, 8% of the world’s population ≥ 65+ Expected to increase from 524,000,000 (524 Mil) in 2010 to 1,500,000,000

(1.5 Bil) by 2050 ~ an increase of 186% (NIH, 2011)


Elderly & Driving An average of 586 older adults are injured every

Death number of traffic accident in Taiwan

18.15 % 42.83 %

day in crashes (Administration, 2015)

According to the report of National Police Agency

39.02 %

in Taiwan, the death number of scooter accident

accounts for 57.17% of the traffic accidents. 31.73% of them are older riders.

Accidents involve scooter riders Accidents involve older scooter riders Other traffic accidents


Challenges & Risks Older scooter drivers’ visual function, reaction and attention decreases with age, leading to high risk of traffic accident (Rodrigues & Pandeirada, 2015).

Due to attention degeneration, older scooter drivers easily fail to give

right of way causing collisions to occur. This is the most common type of accident faced by older scooter drivers (Clarke et al., 2010).


Observation Older scooter drivers’ habits • Driving slowly(30-50km/hr)

• Do not use rear view mirror • Changing lane without looking back • Only looking nearly things

5


Warning Design 2. Turn on the rear detection 13.89 m

3. Warning

6.945 m

1. Obstacle detected 3.473m

7.777m

Obstacle 80km/h +40km/h

60km/h +20km/h

50 km/h +10km/h

40 km/h


Warning Criteria

Warning area central foveal vision

Warning criteria • Noticeable:

90。

The warning must be noticed

30。

• Readable: The warning must be read

8。 12。

• Understandable: The warning must be understood 7


Warning Design

8


Warning Design

9


Modeling

10


Experiment

Obstacle (street parking)

Participant • 5 elderly scooter drivers • At least 10 years of scooter riding experience

Obstacle

• Rides scooter everyday

(construction)

Variable •

Independent variable: warning system

(with/without) •

Participant Staff 1

Staff 2

Dependent variable: riding behavior 11


Experiment


Participants

#1 #2 #3 #4

#5

Helmet design

Total # of Obstacles / double parked vehicles

New

Behavioral reactions and the corresponding # of obstacles/double parked vehicles Reducing speed to pass through (without looking back)

Reducing speed and looking back before passing through

Looking in the side-mirror before passing through

Passing through without taking precaution

50

12

2

0

36

Conventional

50

0

0

0

50

New

50

12

3

13

22

Conventional

50

2

0

5

43

New

50

9

2

0

39

Conventional

50

3

2

0

45

New

50

15

0

13

32

Conventional

50

1

1

5

43

New

50

14

1

0

35

Conventional

50

4

0

0

46

New

50

12.4 (25%)

1.6 (3%)

5.2 (10%)

32.8 (66%)

Conventional

50

2 (4%)

0.6 (1%)

2 (4%)

45.4(91%)

Average


Behavioral Reaction (average)

Results

50 45

40 35

30 25 20 15 10 5 0

Reduced speed

Reduced speed Looked in the side Passed through and look back mirror derectly Conventional

Innovational


3D Modeling and Rendering

15


Developing Innovative Vibration Stimulation Device to Enhance Stroke Patients' Hand Motor Abilities.

Watson Hsu Professor Yu-Hsiu Hung / Yu-Ching Lin


Stroke is one of the most common diseases causing severe disability.


Somatosensory Stimulation Tactile Vibration

Electrocutaneous

Temperature

muscle vibration improve hand function in patients with post-stroke hemiparesis with more favorable effects than light and rough touches(Sim et al., 2015)

People are insensitive to temperature changes. people may not notice changes of up to 5°C if the rate of change is less than 0.5°C per minute (Ho & Jones, 2006) The electrical resistance of skin is aected by its moisture level(Szeto & Saunders, 1982). Furthermore, therapist told that patients usually do not like electrocutaneous stimulation because it cause physically and mentally discomfort.


Benefits of Vibration Stimulation


Process


Design Process


Initial Idea and User Assessment


Modified Design


Modified Design


Evaluation


Evaluation


Outcome


BedsideBuddy

Watson Hsu


Portability

29


Assemblies

30


Functionality

31


Functionality


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