TY - GEN
T1 - AcouDigits
T2 - 2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019
AU - Zou, Yongpan
AU - Yang, Qiang
AU - Han, Yetong
AU - Wang, Dan
AU - Cao, Jiannong
AU - Wu, Kaishun
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Recently, wearable devices have become increasingly popular in our lives because of their neat features and stylish appearance. However, due to the tiny size, it is inconvenient for users to interact with a device using conventional methods, especially for text entry. Although some methods have been proposed to handle this problem, they have different limitations and are not applicable to many existing mobile devices. As a result, we take the first step to propose a digits-entry system, i.e., AcouDigits, in which digits can be entered in the air using a finger without taking help from any additional hardware. We implement AcouDigits on two commercial devices and conduct experiments to evaluate its performance in recognizing ten basic digits. Experimental results show that AcouDigits can achieve average accuracies of 91.7% and 87.4% in recognizing basic digits and 26 English alphabets, respectively.
AB - Recently, wearable devices have become increasingly popular in our lives because of their neat features and stylish appearance. However, due to the tiny size, it is inconvenient for users to interact with a device using conventional methods, especially for text entry. Although some methods have been proposed to handle this problem, they have different limitations and are not applicable to many existing mobile devices. As a result, we take the first step to propose a digits-entry system, i.e., AcouDigits, in which digits can be entered in the air using a finger without taking help from any additional hardware. We implement AcouDigits on two commercial devices and conduct experiments to evaluate its performance in recognizing ten basic digits. Experimental results show that AcouDigits can achieve average accuracies of 91.7% and 87.4% in recognizing basic digits and 26 English alphabets, respectively.
KW - Acoustic signals
KW - Text entry
KW - Wearable devices
UR - http://www.scopus.com/inward/record.url?scp=85070240162&partnerID=8YFLogxK
U2 - 10.1109/PERCOM.2019.8767415
DO - 10.1109/PERCOM.2019.8767415
M3 - Conference article published in proceeding or book
T3 - 2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019
BT - 2019 IEEE International Conference on Pervasive Computing and Communications, PerCom 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 March 2019 through 14 March 2019
ER -