Determining Smartphone’s Placement Through Material Detection, Using Multiple Features Produced in Sound Echoes
| Autor: | Satoshi Hirahashi, Makoto Koshino, Tatsuhito Hasegawa |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
General Computer Science
Computer science business.industry General Engineering 020206 networking & telecommunications 020207 software engineering 02 engineering and technology Accelerometer Position (vector) ComputerSystemsOrganization_MISCELLANEOUS 0202 electrical engineering electronic engineering information engineering General Materials Science Computer vision Artificial intelligence business |
| Zdroj: | IEEE Access. 5:5331-5339 |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2017.2687467 |
| Popis: | This paper proposes a system to determine the placement of a smartphone by using the acoustic properties of the surface materials nearby. Detecting the surrounding materials allows the smartphone to change its notification method automatically, based on situational factors. Researchers have studied how to recognize the position in which smartphones are worn while walking, using accelerometer data; however, it is difficult to identify a smartphone’s position while stationary, because the accelerometer value does not change significantly when the smartphone is put down. In this paper, we developed a method to recognize surface materials close to a smartphone, using echoes; this method is based on the assumption that echoes of a selected frequency will differ in their properties, depending on the smartphone’s placement and the surface materials nearby. Through our experiment, we found that our proposed method can classify 12 kinds of placement with 82.1% accuracy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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