智能手机上的情感感知：概念、挑战和机遇
Opportunistic and Context-aware Affect Sensing on Smartphones: The Concept, Challenges and Opportunities
摘要：
主动式情感感知为捕捉无处不在的自发情感提供了前所未有的潜力，消除了实验室环境中固有的偏见。面部表情和语音是两种主要的情感显示，然而，由于广泛的功率需求，智能手机上的大多数影响传感系统避免它们。令人鼓舞的是，由于最近低功耗DSP（数字信号处理）协处理器和GPU（图形处理单元）技术的出现，音频和视频传感变得更加可行。为了正确地评估机会主义捕获的面部表情和语音，需要推断关于动态视听刺激的上下文信息。本文讨论了智能手机上的影响感测的最新进展，并确定了在智能手机平台上实现机会主义和上下文感知的影响感测的关键障碍和潜在解决方案。
英文摘要：
Opportunistic affect sensing offers unprecedented potential for capturing spontaneous affect ubiquitously, obviating biases inherent in the laboratory setting. Facial expression and voice are two major affective displays, however most affect sensing systems on smartphone avoid them due to extensive power requirement. Encouragingly, due to the recent advent of low-power DSP (Digital Signal Processing) co-processor and GPU (Graphics Processing Unit) technology, audio and video sensing are becoming more feasible. To properly evaluate opportunistically captured facial expression and voice, contextual information about the dynamic audio-visual stimuli needs to be inferred. This paper discusses recent advances of affect sensing on the smartphone and identifies the key barriers and potential solutions of implementing opportunistic and context-aware affect sensing on smartphone platforms.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
