skinput: appropriating the body as an input surface

18
Skinput: Appropriating the Body as an Input Surface Chris Harrison, Desney Tan, Dan Morris Summarized & Presented by: Reem Alattas

Upload: reem-alattas

Post on 11-Apr-2017

225 views

Category:

Technology


0 download

TRANSCRIPT

Page 1: Skinput: Appropriating the Body as an Input Surface

Skinput: Appropriating the Body as an Input Surface

Chris Harrison, Desney Tan, Dan Morris

Summarized & Presented by:Reem Alattas

Page 2: Skinput: Appropriating the Body as an Input Surface

Skinput

• A technology that appropriates the human body for acoustic transmission, allowing the skin to be used as an input surface.

Page 3: Skinput: Appropriating the Body as an Input Surface

Introduction

• Handheld devices– Size vs. Computational Power

• Alternative interaction methods

Page 4: Skinput: Appropriating the Body as an Input Surface

Related Work

• Always-Available Input– Skin– Computer Vision– Speech Input– Wearable Computing• Glove-based Input• Smart Fabric• SixthSense

• Computationally expensive

• Error prone in mobile scenarios

• Limited precision • Privacy and

scalability issues

Page 5: Skinput: Appropriating the Body as an Input Surface

Related Work

• Bio-Sensing– Brain sensing technologies• EEG• fNIR

Page 6: Skinput: Appropriating the Body as an Input Surface

Skinput

• An input technique that allows the skin to be used as a finger input surface.

Page 7: Skinput: Appropriating the Body as an Input Surface

Bio-Acoustics

• Transverse wave propagation

• Longitudinal wave propagation

Page 8: Skinput: Appropriating the Body as an Input Surface

Sensing

• An array of highly tuned vibration sensors

Page 9: Skinput: Appropriating the Body as an Input Surface

Processing

Page 10: Skinput: Appropriating the Body as an Input Surface

Experiment

• 13 Participants (7 females)• Seattle area• Age range: 20 – 56 (mean 38.3)• BMI range: 20.5 (normal) – 31.9 (obese)• 1 lefty

Page 11: Skinput: Appropriating the Body as an Input Surface

Experimental Conditions

• Fingers (Five Locations)• Whole Arm (Five Locations)• Forearm (Ten Locations)

Page 12: Skinput: Appropriating the Body as an Input Surface

Procedure

• Participants practiced tapping approximately one minute with each gesture set.

• Participants were instructed to comfortably tap each location ten times, with a finger of their choosing.– 3 rounds of training data were collected per input

location set (30 examples per location, 150 data points total)

– Forearm Exception: two rounds were collected (20 examples per location, 200 data points total)

Page 13: Skinput: Appropriating the Body as an Input Surface

Results

• Five Fingers– Average accuracy 87.7%

• Whole Arm– Below elbow average accuracy 95.5%– Above elbow average accuracy 88.3%

• Forearm– Average accuracy 81.5%

Page 14: Skinput: Appropriating the Body as an Input Surface

Accuracy

Page 15: Skinput: Appropriating the Body as an Input Surface

BMI Effects

• High BMI is correlated with decreased accuracies.

Page 16: Skinput: Appropriating the Body as an Input Surface

Supplemental Experiments

• Walking and Jogging• Single-Handed Gestures• Surface and Object Recognition• Identification of Finger Tap Type• Segmenting Finger Input

Page 17: Skinput: Appropriating the Body as an Input Surface

Conclusion

• The proposed approach appropriates the human body as an input surface.

Page 18: Skinput: Appropriating the Body as an Input Surface

Questions