FORMSENSE

Owners

Goods & Services

Portable medical devices with sensors to detect the physical movement of a patient wearing the portable medical devices; portable wearable medical devices with sensors that increase patient engagement during physiotherapy and training, detect injuries before they happen, help athletes train better and increase their performance level

Wearable clothing incorporated with computer hardware in the nature of body sensors, namely, jerseys, pants, socks, and insoles

Providing use of on-line non-downloadable cloud computing software for the storage of movement data; research and development of proprietary sensor technology for seamless integration into activewear that helps improve outcomes for patients during physiotherapy, prevents injuries and elevates athletic performance

Portable wearable devices with sensors to detect the movement of a wearer wearing the portable wearable devices; software for use with portable wearable device having sensors to detect the movement of the wearer wearing the portable wearable devices; software for analyzing motion data from portable wearable devices having sensors for detecting movement of a wearer; medical software for displaying physical movement data of a patient; medical software for analyzing the movement data of a patient; wearable motion sensors for use with virtual reality applications; software for use in integrating sensor data with virtual reality applications; wearable motion sensors for use with augmented reality applications; software for use in integrating sensor data with augmented reality applications; Computer software featuring artificial intelligence and machine learning models to derive insights from existing and/or new datasets obtained by devices that run such software; software featuring algorithms for training machine learning models on existing and/or new datasets; software featuring artificial intelligence for developing algorithms with and without human intervention; software for use in projecting data on multiple user interfaces in the nature of 2D, 3D, holographic, volumetric interfaces; software for use in extracting custom insights from datasets created by the software after the fact; software for use in optimizing results based on available resources in the nature of computational power, battery capacity and memory resources in devices that run such software; software for use in applying algorithms that use reinforcement-based learning to optimize results; Software for use with portable wearable devices having sensors to process information into meaningful information that can be consumed through user interfaces in computing devices in the nature of personal computers, smartphones, hearable devices, virtual reality and augmented reality devices; portable wearable devices with sensors that increase patient engagement during physiotherapy and training, detect injuries before they happen, help athletes train better and increase their performance level; software for use with portable wearable devices that increase patient engagement during physiotherapy and training, detect injuries before they happen, help athletes train better and increase their performance level; software for integrating information from various sensor types in the nature of inertial motion sensors, biometric sensors, emotional sensors, physiological sensors, strength/resistance tools, clinical measurement tools in the nature of blood glucose monitors and blood pressure monitors; Software that provides predictive and actionable data insights that can be used by 3rd-party industries such as pharmaceutical, retail, research, insurance, sports, health, services and food to personalize products and services for users; Software that allows accessing of predictive and actionable data insights via cloud infrastructure; Computer hardware for use in activewear for sports, training and rehabilitation; Protective helmets incorporated with computer hardware in the nature of body sensors; Software that provides predictive and actionable data insights that can be used by 3rd-parties such as insurance companies to assess patient risk; Software that generates predictive and actionable data insights through machine learning algorithms