Medical examination of human body using haptics

A method, comprising:

• controlling a first head-mounted display to render a first three-dimensional (3D) model of at least a first anatomical portion of a body of a human subject,
• wherein the rendered first 3D model comprises a first region corresponding to a defect portion in the first anatomical portion of the body;
• transmitting a touch input to a wearable sensor in contact with at least the first anatomical portion of the body of the human subject, wherein
• the transmitted touch input corresponds to a human touch, by a user, on the first region of the rendered first 3D model,
• the human subject is different from the user, and
• the transmitted touch input includes at least a pressure signal indicating an amount of pressure applied during the human touch by the user;
• receiving, based on the touch input, a set of bio-signals associated with the defect portion via the wearable sensor, wherein the set of bio-signals comprises physiological signals and somatic sensation information associated with the defect portion;
• controlling a wearable haptic device, in contact with the user, to generate a haptic feedback based on the received set of bio-signals, wherein the haptic feedback is generated as a response to the human touch;
• receiving a first set of features comprising anthropometric features related to the body of the human subject and medical condition information associated with the human subject;
• generating an input feature for a machine learning model based on the received set of bio-signals, the anthropometric features related to the body of the human subject, and the medical condition information associated with the human subject;
• and
• inputting the generated input feature to the machine learning model, wherein the machine learning model outputs a recommendation based on the input feature.

A non-transitory computer-readable medium having stored thereon, computer-executable instructions that when executed by an electronic apparatus, causes the electronic apparatus to execute operations, the operations comprising:

• controlling a first head-mounted display to render a first three-dimensional (3D) model of at least a first anatomical portion of a body of a human subject,
• wherein the rendered first 3D model comprises a first region corresponding to a defect portion in the first anatomical portion of the body;
• transmitting a touch input to a wearable sensor in contact with at least the first anatomical portion of the body of the human subject, wherein
• the transmitted touch input corresponds to a human touch, by a user, on the first region of the rendered first 3D model,
• the human subject is different from the user, and
• the transmitted touch input includes at least a pressure signal indicating an amount of pressure applied during the human touch by the user;
• receiving, based on the touch input, a set of bio-signals associated with the defect portion via the wearable sensor, wherein the set of bio-signals comprises physiological signals and somatic sensation information associated with the defect portion;
• controlling a wearable haptic device, in contact with the user, to generate a haptic feedback based on the received set of bio-signals, wherein the haptic feedback is generated as a response to the human touch;
• receiving a first set of features comprising anthropometric features related to the body of the human subject and medical condition information associated with the human subject;
• generating an input feature for a machine learning model based on the received set of bio-signals, the anthropometric features related to the body of the human subject, and the medical condition information associated with the human subject;
• and
• inputting the generated input feature to the machine learning model, wherein the machine learning model outputs a recommendation based on the input feature.