This invention discloses a full-body live-streaming call imaging
system and method for smart glasses based on real-time correction using multiple sensors, belonging to the field of smart wearable devices and real-time audio and video communication technology. This invention integrates multiple types of sensing sensors distributed across smart glasses to collect real-
time data on user facial details, clothing features, limb posture,
gait, and surrounding
environmental space. It then constructs a complete 3D
human body model from head to
toe using lightweight AI algorithms. Simultaneously, a real-time
human body data correction mechanism is added, dynamically calibrating
human body recognition data at the
millisecond level through frame comparison, iterative compensation, and anomaly filtering, solving industry challenges of model
distortion and contour offset in dynamic scenes. Combined with SLAM 3D environment reconstruction technology and an adaptive lens distance adjustment
algorithm, this invention can intelligently switch between facial close-ups and full-body
dual imaging modes, with no limb
cropping, no image
distortion, and no image
jitter throughout the process, realistically reproducing the user's full-body movements and surrounding environment. This invention effectively solves the technical pain points of traditional smart glasses, such as limited imaging in video calls and
live streaming, poor dynamic adaptability, and low recognition accuracy. It significantly improves imaging stability, integrity, and intelligence, and is suitable for various scenarios such as remote
physical education, immersive
live streaming, and virtual meetings. It has extremely high practical value and promising prospects for promotion.