Patent Document ID: 9728189
Application ID: 14113897

Base Claim:
1. An input auxiliary apparatus comprising: a voice input section for inputting a voice; an embellishment information retaining section for retaining embellishment information on a plurality of posture patterns in a storing section in advance such that each piece of the embellishment information links each posture pattern; a posture detecting section for detecting posture; and a control section for being operable as: by a speech recognition instruction by a user, recognizing, for each speech unit, voice inputted from the voice input section, as a character string, determining, for the each speech unit, a posture pattern instructed by the user, based the posture detected by the posture detecting section during the speech recognition, reading out an embellishment information linked with the posture pattern determined for the each speech unit from the storing section; and applying the embellishment information read out for each speech unit to the character string recognized for the each speech unit, wherein the embellishment information is character color of the character string, character size of the character string, and an emoticon or a pictograph added following the character string, wherein the embellishment information retaining section also retains emotion information or season information such that each piece of the emotion information or season information is linked with the each posture pattern, wherein, during the speech recognition, the control section sequentially changes a display mode of a display section based on a piece of the emotion information or season information linked with a posture pattern including displacement of the posture being detected by the posture detecting section, and wherein the display mode is an avatar, or a mark or a diagram which represents an emotion.

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Claim 2:
2. The input auxiliary apparatus according to claim 1 further comprising a receiving section for receiving in an external signal corresponding to recognition results of the speech recognition section.