ACM/IEEE Intl. Conf. on Information Processing in Sensor Networks, IPSN 2017


Article Details
Title: A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract
Article URLs:
Alternative Article URLs:
Authors: Mahdi Pedram
  • Washington State University
Seyed Ali Rokni
  • Washington State University
Ramin Fallahzadeh
  • Washington State University
Hassan Ghasemzadeh
  • Washington State University
Sharing: Unknown
Verification: Authors have not verified information
Artifact Evaluation Badge: none
Artifact URLs:
Artifact Correspondence Email Addresses:
NSF Award Numbers:
DBLP Key: conf/ipsn/PedramRFG17
Author Comments:

Discuss this paper and its artifacts below