Background: The human mind is multimodal. Yet most behavioral studies rely on century-old measures such as task accuracy and latency. To create a better understanding of human behavior and brain functionality, we should introduce other measures and analyze behavior from various aspects. However, it is technically complex and costly to design and implement the experiments that record multiple measures. To address this issue, a platform that allows synchronizing multiple measures from human behavior is needed. Method: This paper introduces an opensource platform named OpenSync, which can be used to synchronize multiple measures in neuroscience experiments. This platform helps to automatically integrate, synchronize and record physiological measures (e.g., electroencephalogram (EEG), galvanic skin response (GSR), eye-tracking, body motion, etc.), user input response (e.g., from mouse, keyboard, joystick, etc.), and task-related information (stimulus markers). In this paper, we explain the structure and details of OpenSync, provide two case studies in PsychoPy and Unity. Comparison with existing tools: Unlike proprietary systems (e.g., iMotions), OpenSync is free and it can be used inside any opensource experiment design software (e.g., PsychoPy, OpenSesame, Unity, etc., https://pypi.org/project/OpenSync/ and https://github.com/moeinrazavi/OpenSync_Unity). Results: Our experimental results show that the OpenSync platform is able to synchronize multiple measures with microsecond resolution.
翻译:人类心理是多式的。 然而, 大多数行为研究都依赖于任务精确度和延缓度等世纪久久以来的计量。 为了更好地了解人类行为和大脑功能, 我们应该引入其它措施并分析各方面的行为。 然而, 设计并开展记录多种计量的实验在技术上既复杂又昂贵。 要解决这个问题, 需要有一个平台, 使人类行为中的多种计量同步化。 方法 : 本文引入了一个名为 OpenSync 的开放源代码平台, 该平台可用于同步神经科学实验中的多项计量。 这个平台有助于自动整合、 同步并记录生理计量( 例如, 电子脑图( EEEG) )、 银色皮肤反应( GSR) 、 眼睛跟踪、 身体运动等) 、 用户输入响应( 例如, 鼠标、 键盘、 游戏台等) 以及与任务有关的信息( imulus 标记 ) 。 在本文中, 我们解释 OpenS 和 Unity 提供两个案例研究。 与现有工具比较: 与专利系统( 、 OpenS ExcialS lavecialS) 等系统、 ExcialS 都显示任何可操作 、 和 OliverSuploveyalS 的系统、 。