Intelligent massage chair and the control method of the same
Disclosed herein are an intelligent massage chair and a control method thereof. The intelligent chair includes a sensing unit mounted on the intelligent chair, and including at least one sensor, and a controller. The controller performs a control to determine a user's body condition based on the information about the user's body acquired through the sensing unit, and to determine an operation mode based on the determined user's body condition, and to add the information about the user's body, when it is determined that the determined operation mode is not an optimum operation mode for the user. One or more of an intelligent massage chair, an autonomous vehicle, a user terminal and a server of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.
1. A method of controlling a chair, comprising:
acquiring information about a user's body;
determining a user's body condition based on the acquired information;
determining a massage operation mode based on the determined user's body condition;
adding, based on the determined massage operation mode being a non-optimal massage operation mode for the user, the acquired information about the user's body to a previously stored set of information;
determining an adjusted massage operation mode based on the acquired information added to the previously stored set of information;
controlling the chair to perform in the adjusted massage operation mode;
performing an initial access procedure with at least one network based on a synchronization signal block (SSB);
receiving, from the at least one network, Downlink Control Information (DCI) used to schedule transmission, by the chair, of the information about the user's body; and
transmitting the information about the user's body to the at least one network based on the DCI,
wherein the information about the user's body is transmitted through a physical uplink shared channel (PUSCH) to the at least one network, and
wherein the SSB and a DM-RS of the PUSCH are quasi-co located for a QCL type D.
2. The method of claim 1 , wherein the determining of the user's body condition comprises:
extracting characteristic values from information acquired through at least one sensor disposed in the chair;
inputting the characteristic values into a trained artificial neural network (ANN) classifier; and
determining the user's body condition based on output values of the artificial neural network,
wherein the output values of the artificial neural network are used to distinguish whether the determined massage operation mode is an optimum massage operation mode for the user.
3. The method of claim 2 , further comprising:
controlling a communication unit of the chair to transmit the information about the user's body to an artificial intelligence (AI) processor in the at least one network; and
controlling the communication unit to receive processed information from the AI processor,
wherein the AI processor determines whether the determined massage operation mode is the optimum massage operation mode for the user.
4. The method of claim 3 , further comprising:
transmitting, by the communication unit of the chair, a vehicle to everything communication (V2X) message that includes the information about the user's body condition to other terminals that are linked to the chair through the communication unit of the chair.
5. The method of claim 1 , wherein the chair is configured to mount to a driver's seat or a passenger's seat in a vehicle.
6. The method of claim 1 , wherein acquiring information about the user's body comprises acquiring information about at least one of a body type of the user, a posture of the user, or a position of the user sitting on the chair.
7. The method of claim 2 , wherein the at least one sensor comprises at least one of a camera, an electrostatic sensor, a pressure sensor, or a piezoelectric sensor.
8. The method of claim 2 , wherein acquiring information about the user's body further comprises:
based on a contact intensity being larger than a threshold value when the user contacts the chair, acquiring data, by the at least one sensor, from at least one contact surface.
9. A chair comprising:
at least one sensor disposed on the chair and configured to acquire information about a user's body;
a communication unit; and
a controller that receives the acquired information about the user's body,
wherein the controller is configured to:
determine a user's body condition based on the acquired information about the user's body;
determine a massage operation mode based on the determined user's body condition;
add, based on the determined massage operation mode being a non-optimal massage operation mode for the user, the information about the user's body to a previously stored set of information;
determine an adjusted massage operation mode based on the acquired information added to the previously stored set of information;
control the chair to perform the adjusted massage operation mode;
perform an initial access procedure with at least one network based on a synchronization signal block (SSB);
receive, from the at least one network, Downlink Control Information (DCI) used to schedule transmission, by the chair, of the information about the user's body; and
transmit the information about the user's body to the at least one network based on the DCI,
wherein the information about the user's body is transmitted through a physical uplink shared channel (PUSCH) to the at least one network, and
wherein the SSB and a DM-RS of the PUSCH are quasi-co located for a QCL type D.
10. The chair of claim 9 , wherein the controller is further configured to:
extract characteristic values from information acquired through at least one sensor disposed in the chair;
input the characteristic values into a trained artificial neural network (ANN) classifier; and
determine the user's body condition based on output values of the artificial neural network.
11. The chair of claim 10 , wherein the output values of the artificial neural network are used to distinguish whether the determined massage operation mode is an optimum massage operation mode for the user.
12. The chair of claim 11 ,
wherein the controller controls the communication unit to transmit the information about the user's body condition to an artificial intelligence (AI) processor in at least one network, and controls the communication unit to receive processed information from the AI processor, and
wherein the AI processor determines whether the determined massage operation mode is the optimum massage operation mode for the user.
13. The chair of claim 9 , wherein the chair is configured to mount to a driver's seat or a passenger seat in a vehicle.
14. The chair of claim 12 , wherein the communication unit of the chair transmits a vehicle to everything communication (V2X) message that includes the information about the user's body condition to other terminals that are linked to the chair through the communication unit of the chair.
15. The chair of claim 10 , wherein the at least one sensor is further configured to acquire information about the user's body by acquiring information about at least one of a body type of the user, a posture of the user, or a position of the user sitting on the chair.
16. The chair of claim 10 , wherein the at least one sensor comprises at least one of a camera, an electrostatic sensor, a pressure sensor, or a piezoelectric sensor.
17. The chair of claim 10 , wherein the controller is further configured to:
based on a contact intensity being larger than a threshold value when the user contacts the chair, acquire data, by the at least one sensor, from at least one contact surface.