TY - GEN
T1 - SymDetector
T2 - 3rd ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015
AU - Sun, Xiao
AU - Lu, Zongqing
AU - Hu, Wenjie
AU - Cao, Guohong
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/9/7
Y1 - 2015/9/7
N2 - This paper proposes SymDetector, a smartphone based application to unobtrusively detect the sound-related respiratory symptoms occurred in a user's daily life, including sneeze, cough, sniffle and throat clearing. SymDetector uses the builtin microphone on the smartphone to continuously monitor a user's acoustic data and uses multi-level processes to detect and classify the respiratory symptoms. Several practical issues are considered in developing SymDetector, such as users' privacy concerns about their acoustic data, resource constraints of the smartphone and different contexts of the smartphone. We have implemented SymDetector on Galaxy S3 and evaluated its performance in real experiments involving 16 users and 204 days. The experimental results show that SymDetector can detect these four types of respiratory symptoms with high accuracy under various conditions.
AB - This paper proposes SymDetector, a smartphone based application to unobtrusively detect the sound-related respiratory symptoms occurred in a user's daily life, including sneeze, cough, sniffle and throat clearing. SymDetector uses the builtin microphone on the smartphone to continuously monitor a user's acoustic data and uses multi-level processes to detect and classify the respiratory symptoms. Several practical issues are considered in developing SymDetector, such as users' privacy concerns about their acoustic data, resource constraints of the smartphone and different contexts of the smartphone. We have implemented SymDetector on Galaxy S3 and evaluated its performance in real experiments involving 16 users and 204 days. The experimental results show that SymDetector can detect these four types of respiratory symptoms with high accuracy under various conditions.
UR - http://www.scopus.com/inward/record.url?scp=84960861794&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960861794&partnerID=8YFLogxK
U2 - 10.1145/2750858.2805826
DO - 10.1145/2750858.2805826
M3 - Conference contribution
AN - SCOPUS:84960861794
T3 - UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
SP - 97
EP - 108
BT - UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PB - Association for Computing Machinery, Inc
Y2 - 7 September 2015 through 11 September 2015
ER -