Investigating the Impact of Possession-Way of a Smartphone on Action Recognition†
AbstractFor the past few decades, action recognition has been attracting many researchers due to its wide use in a variety of applications. Especially with the increasing number of smartphone users, many studies have been conducted using sensors within a smartphone. However, a lot of these studies assume that the users carry the device in specific ways such as by hand, in a pocket, in a bag, etc. This paper investigates the impact of providing an action recognition system with the information of the possession-way of a smartphone, and vice versa. The experimental dataset consists of five possession-ways (hand, backpack, upper-pocket, lower-pocket, and shoulder-bag) and two actions (walking and running) gathered by seven users separately. Various machine learning models including recurrent neural network architectures are employed to explore the relationship between the action recognition and the possession-way recognition. The experimental results show that the assumption of possession-ways of smartphones do affect the performance of action recognition, and vice versa. The results also reveal that a good performance is achieved when both actions and possession-ways are recognized simultaneously. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Kim, Z.M.; Jeong, Y.-S.; Oh, H.R.; Oh, K.-J.; Lim, C.-G.; Iraqi, Y.; Choi, H.-J. Investigating the Impact of Possession-Way of a Smartphone on Action Recognition. Sensors 2016, 16, 812.
Kim ZM, Jeong Y-S, Oh HR, Oh K-J, Lim C-G, Iraqi Y, Choi H-J. Investigating the Impact of Possession-Way of a Smartphone on Action Recognition. Sensors. 2016; 16(6):812.Chicago/Turabian Style
Kim, Zae M.; Jeong, Young-Seob; Oh, Hyung R.; Oh, Kyo-Joong; Lim, Chae-Gyun; Iraqi, Youssef; Choi, Ho-Jin. 2016. "Investigating the Impact of Possession-Way of a Smartphone on Action Recognition." Sensors 16, no. 6: 812.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.