为研究采用功能性近红外光谱（fNIRS）技术评估不同情绪状态下操作者脑力负荷（MWL）的可行性，为开展以MWL评估为基础的操作者功能状态（OFS）评估提供技术支持，进行了多种情绪刺激下的图片n-back任务实验，包括负性、积极和中性三组情绪。采用任务绩效、主观量表和fNIRS生理测量等方法采集16名参试者的实验数据。任务绩效和主观状态评分均表明参试者MWL在外部因素影响下发生变化。从fNIRS信息中提取了时域、频域和非线性域共380个生理特征作为OFS评估模型输入，采用支持向量机作为分类器，建立了MWL评估模型。评估模型采用中性情绪刺激下的任务数据作为训练数据，积极情绪和负性情绪刺激下的实验数据作为测试数据，分别取得了92.49%、75.90%和79.99%的平均分类正确率。通过实验数据分析，验证了任务负荷和情绪刺激能够有效影响操作者MWL的实验假设，证明了采用fNIRS技术建立多种情绪状态下MWL评估模型的可行性，为开展复杂任务情况下以MWL为基础的OFS评估提供依据。

In order to investigate the feasibility of mental workload (MWL) assessment influenced by different emotional state by using the functional near-infrared spectroscopy (fNIRS) and to support the operator functional state (OFS) assessment based on the MWL assessment, the picture n-back experiments stimulated by multiple emotions, including negative, neutral and positive emotions, are conducted. The experiment data of 16 participants are collected by the means of task performance, subjective rating and fNIRS physiological measurement. The results show that the MWL of participants is affected by external factors in terms of task performance and subjective rating. An MWL assessment model is established, with a total of 380 physiological features of time domain, frequency domain and nonlinearity domain extracted from the fNIRS information as input and the support vector machine as classifier. Average accuracy of classification is 92.49% for training data which is based on task data stimulated by neutral emotion, and 75.9% and 79.99% for test data which is based on experiment data stimulated by positive and negative emotions. By analyzing the data, the experiments verify the hypothesis that the operator′s MWL is effectively affected by task load and emotional stimulus, demonstrate the feasibility of MWL assessment in different emotional state based on fNIRS, and lay a foundation for the OFS assessment on the strength of the MWL evaluation during complex tasks.