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    • 1. 发明专利
    • Conversation support device and conversation support method
    • 对话支持设备和对话支持方法
    • JP2012198726A
    • 2012-10-18
    • JP2011061826
    • 2011-03-20
    • Univ Of Tokyo国立大学法人 東京大学
    • OTAKE MIHOKOYAMAGUCHI TAICHIOTA JUN
    • G06Q50/26
    • PROBLEM TO BE SOLVED: To provide a conversation support device and method characterized in a conversation amount measurement and evaluation method.SOLUTION: The conversation support device comprises: means for acquiring utterance time of respective participants in association with the respective participants for each utterance; score calculation means for calculating scores by using the utterance time for each utterance and acquiring them in association with the participants; means for cumulatively adding the scores of the respective participants and acquiring the cumulative scores of the respective participants; means for calculating an average value of the cumulative scores of the respective participants; means for specifying the minimum cumulative score from the cumulative scores of the respective participants and calculating a difference between the minimum cumulative score and the average value; and means for determining whether or not the difference exceeds a preset threshold, and determining to "prompt the utterance" when exceeding the threshold; and means for performing output to prompt the utterance to the participant associated with the minimum cumulative score when it is determined to "prompt the utterance".
    • 要解决的问题:提供一种以会话量测量和评估方法为特征的会话支持装置和方法。 对话支持装置包括:用于每个话语获取与各个参与者相关联的各个参与者的话语时间的装置; 分数计算装置,用于通过使用每个发音的发音时间来计算分数,并且与参与者相关联地获取它们; 用于累积添加各参与者的分数并获取各参与者的累积分数的方法; 用于计算各参与者的累积分数的平均值的装置; 用于从相应参与者的累积分数中指定最小累积分数并计算最小累积分数与平均值之间的差的方法; 以及用于确定所述差异是否超过预设阈值的装置,并且在超过所述阈值时确定“提示说话”; 以及当确定“提示说话”时,执行输出以提示与最小累积分数相关联的参与者的话语的装置。 版权所有(C)2013,JPO&INPIT
    • 3. 发明专利
    • Exercise learning support device and method
    • 运动学习支持设备和方法
    • JP2011078753A
    • 2011-04-21
    • JP2010203798
    • 2010-09-11
    • Univ Of Tokyo国立大学法人 東京大学
    • OTAKE MIHOKONAKAI MASAAKIASAMA HAJIMEFUJII ATSUHEI
    • A63B69/00
    • PROBLEM TO BE SOLVED: To effectively support exercise learning by selecting one or more exercise features from among many exercise features and presenting a state of selected exercise feature to a leaner.
      SOLUTION: According to a correlation among a plurality of exercise feature quantities characterizing a target exercise, one or more exercise feature quantities is selected from among the plurality of exercise feature quantities, exercise of an exercise learner is measured, a measurement result is used to calculate one or more selected exercise feature quantities, a corresponding exercise feature evaluation function is used to evaluate the calculated exercise feature amount, and the evaluation result is presented in real time to the exercise learner in a recognizable way.
      COPYRIGHT: (C)2011,JPO&INPIT
    • 要解决的问题:通过从许多运动特征中选择一个或多个运动特征并且将选定的运动特征的状态呈现给更精细的人来有效地支持运动学习。 解决方案:根据表征目标运动的多个运动特征量之间的相关性,从多个运动特征量中选择一个或多个运动特征量,测量运动学习者的运动,测量结果为 用于计算一个或多个选择的运动特征量,使用相应的运动特征评估函数来评估所计算的运动特征量,并且以可识别的方式实时地向运动学习者呈现评估结果。 版权所有(C)2011,JPO&INPIT
    • 4. 发明专利
    • Physical exercise learning support apparatus and method, physical exercise learning support program, and recording medium with the program recorded thereon
    • 物理练习学习支持手段和方法,体能锻炼支持计划和记录的程序记录介质
    • JP2006075398A
    • 2006-03-23
    • JP2004263636
    • 2004-09-10
    • Univ Of Tokyo国立大学法人 東京大学
    • OTAKE MIHOKONAKAMURA YOSHIHIKO
    • A63B24/00A61B5/16A61B5/22A63B69/00G09B9/00
    • A61B5/1116A61B5/4041A61B5/407A61B5/4519A61B5/4528A61B5/4561
    • PROBLEM TO BE SOLVED: To provide a method for detecting neural information from physical exercise information of muscles, tendons, etc. of the whole body and utilizing the detected neural information for supporting learning of physical exercise. SOLUTION: A processing part performs initialization (S101), reads reference data and object data from a neural data file (S103), and carries out preprocessing (S105). The processing part sets an initial hour (S107), segments a template of a designated time interval from the reference data (S109), calculates correlation with the template extending through the designated area of the object data (S111), and stores data obtained by making the maximum correlation value between hour in the reference data and the object data correspond to the hour for different trials of the same kind of nerves into a file of time data corresponding to trials for each of the same kind of nerves (S113). The processing part advances a unit hour unit minute to a final hour (S115, S117), carries out post processing, obtains a corresponding time and the correlation value about the same trial of different kinds of nerves to store them into a file of time data corresponding to the same trial of the different kinds of nerves (S119), and presents it on a display part (S121). COPYRIGHT: (C)2006,JPO&NCIPI
    • 要解决的问题:提供一种从身体的肌肉,肌腱等的体育锻炼信息中检测神经信息的方法,并且利用检测到的神经信息来支持体育锻炼的学习。 解决方案:处理部执行初始化(S101),从神经数据文件读取参考数据和对象数据(S103),并进行预处理(S105)。 处理部设定初始时刻(S107),从参照数据分割指定时间间隔的模板(S109),计算与通过对象数据的指定区域延伸的模板的相关性(S111),并存储通过 使得参考数据中的小时与对象数据之间的最大相关值对应于相同类型神经的不同试验的时间到与每种相同类型神经的试验相对应的时间数据的文件(S113)。 处理部分将单位时间单位分钟提前到最后一个小时(S115,S117),进行后处理,获得相应时间和关于不同种类神经的相同试验的相关值,将它们存储到时间数据文件 对应于不同种类神经的相同试验(S119),并将其呈现在显示部分上(S121)。 版权所有(C)2006,JPO&NCIPI