@electronic{github.com,
   title       = {mpillar/java-emotion-recognizer · GitHub}, 
   url         = {https://github.com/mpillar/java-emotion-recognizer},
   biburl      = {https://puma.uni-kassel.de/url/a40b98d5e9d93a35e09c50a041fd2ea5/hotho},
   keywords    = {automatic everyaware facial human image mood person recognition subjective},
   added-at    = {2015-03-06T14:13:13.000+0100},
   description = {java-emotion-recognizer - Java emotion recognition engine. Given training data and an input image, JEmotionRec can guess the emotion being conveyed with reasonable accuracy.},
   interhash   = {a40b98d5e9d93a35e09c50a041fd2ea5}, 
   intrahash   = {a40b98d5e9d93a35e09c50a041fd2ea5}
}

@electronic{noisetube.net,
   title       = {::NoiseTube::}, 
   url         = {http://noisetube.net/},
   biburl      = {https://puma.uni-kassel.de/url/6f7ad47745a7c904b5e9f9898e398bd6/hotho},
   keywords    = {everyaware ht09 noise noisetube presentation recognition sony tools},
   added-at    = {2009-06-29T12:17:40.000+0200},
   description = {},
   interhash   = {6f7ad47745a7c904b5e9f9898e398bd6}, 
   intrahash   = {6f7ad47745a7c904b5e9f9898e398bd6}
}