Using barometric pressure data to recognize vertical displacement activities on smartphones
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- 作者：Salvatore Vanini ; salvatore.vanini@supsi.ch" class="auth_mail" title="E-mail the corresponding author ; Francesca Faraci francesca.faraci@supsi.ch" class="auth_mail" title="E-mail the corresponding author ; Alan Ferrari alan.ferrari@supsi.ch" class="auth_mail" title="E-mail the corresponding author ; Silvia Giordano silvia.giordano@supsi.ch" class="auth_mail" title="E-mail the corresponding author
- 关键词：Smartphone computing and communication ; Activity recognition ; Barometer ; Inference model ; Energy consumption
- 刊名：Computer Communications
- 出版年：2016
- 出版时间：1 August 2016
- 年：2016
- 卷：87
- 期：Complete
- 页码：37-48
- 全文大小：1242 K
文摘
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A method for detecting major vertical displacements in human activities is proposed.
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Prediction is based on barometers available on smartphones and inference models.
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Decision trees are a good choice for their high accuracy and low energy consumption.
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Barometers offer high accuracy, energy efficiency and independence from position.