Kemtai is a computer vision AI exercise platform that analyses human motion and provides real-time feedback and corrective guidance, scoring, and adherence tracking for physiotherapy and physical rehabilitation, in the clinic or at home. Kemtai's software platform is designed to run on any standard phone, tablet, or laptop without any special hardware, sensors, or wearables. Kemtai has a proprietary computer vision model that tracks and analyses 111 body points. Kemtai advanced computer vision AI supports real-time feedback for a library of over 2,000 exercises (growing), It can be white-labelled. The simplified workflow of Kemtai is as follows: Clinicians can create and manage care plans composed of exercise protocols, education materials, questionnaires, task and assessments (“care plan activities”) for patients on the clinician-facing app, and patients utilize the patient-facing app to complete their care plans including exercise protocols with real-time, AI-guided feedback and guidance (audio and visual).
An assembly of devices intended to be used both in a home and clinical setting and to provide non-gravity-compensating rehabilitation therapy for neuromuscular/musculoskeletal conditions affecting the back, trunk, and/or limbs (e.g., impaired limb function) through patient interaction with a videogame-like display prompting repeated motion of a body part (e.g., arm, hand, leg) for functional improvement; it may also provide performance feedback. It does not provide weight support and is based on motion-sensing devices [e.g., patient-worn infrared (IR) glove, motion tracking heel pad or camera, software] that communicate to provide a virtual-display interface.
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