Video-based chat has become an increasingly popular communication paradigm. This type of connection involves video, voice and message exchanges that require high data rate transmissions and may lead to long delays due to the huge amount of information bits involved. If transmission rates are not high enough, video quality is reduced and important elements in communication, such as the expression of emotions, may be lost. We have observed that some emotion detection and recognition techniques rely on simplified code representations that could enable representing key images or videos by using much smaller file sizes. In this paper, we investigate the combination of emotion detection and wireless transmission techniques so that the encoded video with emotion representations can be transmitted over low data rate wireless networks. Various tools and applications may be employed to convert the real-time emotions of the sender to codes, each representing a specific emotion state of the sender. Consequently the file size of a video can be reduced to a few coded Kbytes. We then transmit the encoded file over Bluetooth and Wi-Fi wireless networks and compare the latency of different video files with and without emotion encoding. Experimental results show that significant reduction in latency has been achieved using the emotion encoded video files.