People often recognize what triggered their stress only after the moment has passed. In therapy, this can become a recurring problem: clients are asked to remember what happened between sessions, but the details that matter (where they were, what they saw and heard, what was happening around them) are easy to lose. We introduce HeartbeatCam, a wearable sensing system that gathers contextual information during moments of elevated stress. It uses a consumer smartwatch stress signal to trigger capture from an open-source AR glasses camera, recording a sparse image-audio clip that can later be reviewed and annotated. The system adopts an actionable sensing approach to mental healthcare, using physiological signals along with contextual capture to support collaborative interpretation of stress-triggering moments with mental health professionals.

翻译：人们往往只在压力触发时刻过去之后，才意识到自己的压力来源。在心理治疗中，这成为一个反复出现的问题：来访者需要回忆治疗间隔期间发生的事情，但那些关键细节（所处地点、所见所闻、周遭环境）极易被遗忘。我们提出HeartbeatCam——一种在压力升高时刻收集情境信息的可穿戴感知系统。该系统利用消费级智能手表的压力信号，触发开源增强现实眼镜摄像头进行拍摄，记录稀疏图像-音频片段，供后续回放与标注。本系统采用可操作的感知方法服务于心理健康领域，通过结合生理信号与情境捕捉，支持与心理健康专业人士共同解读压力触发时刻。