> For the complete documentation index, see [llms.txt](https://manymanys.gitbook.io/mm1-lab-manual/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://manymanys.gitbook.io/mm1-lab-manual/method/video-recording.md). # Video recording All testing sessions must be recorded using video camera(s) capable of capturing the full choice event in sufficient detail to verify the subject's responses for later coding. When possible, video recordings will meet a minimum resolution of HD 720p (1280 × 720 pixels) at 30 frames per second, with higher frame rates welcome. If cameras are unavailable, researchers are welcome to use their phones (e.g., smartphones) to record sessions. Whenever possible, two cameras should be used: one positioned laterally (side view) and one positioned overhead (top-down view). This dual-camera setup provides comprehensive coverage of the subject’s choice behavior and reduces the likelihood of visual obstruction. When dual-camera recording is not feasible due to logistical or technical constraints, a single camera may be used, but researchers must ensure that camera placement provides an unobstructed view of both the stimuli and the complete selection behavior throughout the trial. Camera placement should be adapted to the subject’s morphology, movement patterns, and response modality to ensure clear visibility of the choice response (e.g., reaching, pecking, mouth grasping, nose touching, fin movement). Where possible, the camera angle and distance must be selected to keep both stimuli and the subject’s selection behavior within the frame from trial initiation through response completion. In all cases, the distance between the subject and the stimuli at the start of each trial must remain fixed throughout the experiment to maintain consistency in scale and perspective across recordings. Testing sites are responsible for verifying video quality prior to data collection, including checking for adequate lighting, focus, resolution, and framing. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://manymanys.gitbook.io/mm1-lab-manual/method/video-recording.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.