Quantifying Differences Between Child and Adult Motion Based on Gait Features
Autor: | Lisa Anthony, Julia Woodward, Eakta Jain, Yuzhu Dong, Rong Zhang, Aishat Aloba, Annie Luc |
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Rok vydání: | 2019 |
Předmět: |
medicine.medical_specialty
Computer science Work (physics) 030229 sport sciences 02 engineering and technology Gait Motion (physics) 03 medical and health sciences 0302 clinical medicine Gait (human) Physical medicine and rehabilitation Gait analysis 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing |
Zdroj: | Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments ISBN: 9783030235628 HCI (8) |
Popis: | Previous work has shown that motion performed by children is perceivably different from that performed by adults. What exactly is being perceived has not been identified: what are the quantifiable differences between child and adult motion for different actions? In this paper, we used data captured with the Microsoft Kinect from 10 children (ages 5 to 9) and 10 adults performing four dynamic actions (walk in place, walk in place as fast as you can, run in place, run in place as fast as you can). We computed spatial and temporal features of these motions from gait analysis, and found that temporal features such as step time, cycle time, cycle frequency, and cadence are different in the motion of children compared to that of adults. Children moved faster and completed more steps in the same time as adults. We discuss implications of our results for improving whole-body interaction experiences for children. |
Databáze: | OpenAIRE |
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