Smart walking recommendation apparatus and method

• US 10,137,329 B2
• Filed: 05/30/2016
• Issued: 11/27/2018
• Est. Priority Date: 03/02/2016
• Status: Active Grant

• Current Assignee: BOE Technology Group Co., Ltd.
• Original Assignee: BOE Technology Group Co., Ltd.
• Inventors: Gu, Yu, Ding, Hongli, Zhao, Kai, Zhang, Ying, Zhang, Yifei
• Primary Examiner(s): Murillo Garcia, Fabricio R
• Application Number:
  US15/537,700
• Publication Number:
  US 20180085629A1
• Time in Patent Office: 911 Days
• CPC Class Codes: A61B 2503/12 Healthy persons not otherwise provided for, e.g. subjects of a marketing survey
• CPC Class Codes: A61B 5/02 Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1122 of movement trajectories
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A63B 24/00 Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
• CPC Class Codes: A63B 24/0003 Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
• CPC Class Codes: A63B 24/0075 Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Abstract

The present disclosure provides a smart walking recommendation apparatus and a corresponding method, the apparatus includes an information obtaining module configured to obtain destination information and appointed arrival time information, a positioning module configured to obtain a start position of a user, a central processing module configured to calculate a distance from the start position to a destination based on the start position and the destination information, and determine whether to recommended walking based on the distance from the start position to the destination, an empirical speed, and the appointed arrival time information, and an output module configured output a walking recommendation to the user in response to determining to recommend walking.

Claims

1. A smart walking recommendation apparatus, comprising:

an information obtaining module configured to obtain destination information and appointed arrival time information;

a positioning module configured to obtain a start position of a user;

a central processing module configured to;

calculate a distance for a selected walk from the start position to a destination based on the start position and the destination information; and

determine whether to recommend walking the selected walk based on the distance from the start position to the destination, an empirical speed, and the appointed arrival time information, wherein the empirical speed is updated based on the user'"'"'s health data associated with previous walks, and deviations in said user'"'"'s health data from normal standard range data; and

an output module configured to output a walking recommendation to the user in response to the central processing module determining to recommend walking the selected walk.

2. The apparatus according to claim 1, wherein the central processing module is further configured to:

calculate a time t=s/v_avg required for the user to reach the destination, where s is the distance from the start position to the destination, and v_avg is the empirical speed; and

if t<

t₁−

t₀−

ε

, recommend walking the selected walk, otherwise not to recommend walking the selected walk, where t₁ is the appointed arrival time, t₀ is start time, and ε

is a pre-specified buffer time value;

wherein when the apparatus is used for a first time, the empirical speed v_avg is an average speed of a population to which the user belongs, and when the apparatus is used again, the empirical speed v_avg is an empirical speed updated based on the user'"'"'s previous walking data from the previous walks.

3. The apparatus according to claim 1, further comprising:

a monitoring module configured to monitor the user'"'"'s health data and current speed in real time after the user has determined to take the selected walk, wherein the central processing module is further configured to;

compare the user'"'"'s health data with normal standard ranges;

calculate the remaining distance and time; and

generate a recommendation for adjusting the speed based on results of the comparison, the current speed, and the remaining distance and time; and

wherein

the output module is further configured to output the recommendation for adjusting the speed to the user.

4. The apparatus according to claim 3, wherein the monitoring module comprises at least one of a body temperature monitoring unit for monitoring body temperature, a heart rate monitoring unit for monitoring heart rate, a blood oxygen monitoring unit for monitoring blood oxygen, and a blood pressure monitoring unit for monitoring blood pressure.

5. The apparatus according to claim 3, wherein the central processing module is further configured to:

if any item of the user'"'"'s health data deviates from a normal standard range, generate and output through the output module a deceleration recommendation until the user'"'"'s health data is restored to the normal standard range; and

if all the user'"'"'s health data is in normal standard ranges and the current speed is lower than

6. The apparatus according to claim 3, wherein the information obtaining module, positioning module, central processing module, monitoring module, and output module are included in a wearable device.

7. The apparatus according to claim 3, wherein:

the information obtaining module includes at least one of a voice input module, a touch input module, and a key input module, which are respectively configured to obtain the user'"'"'s destination information and appointed arrival time information by voice, touch, and key input; and

the positioning module is a satellite positioning module configured to obtain the user'"'"'s current position by satellite positioning.

8. The apparatus according to claim 3, wherein the output module comprises:

at least one of a display output module and a voice output module, which are respectively configured to output the recommendation to the user by display and voice.

9. The apparatus according to claim 3, wherein the central processing module and the monitoring module are included in a wearable device, wherein the information obtaining module, the positioning module, and the output module are included in a mobile terminal device, and wherein the wearable device further comprises a communication module for communicating with the mobile terminal device.

10. The apparatus according to claim 1, wherein the central processing module is further configured to:

after the user has finished the selected walk, update the empirical speed with a weighted average of the empirical speed and an average speed of the selected walk.

11. The apparatus according to claim 10, wherein:

if the user'"'"'s health data has not deviated from normal standard range data during the selected walk, the average speed of the selected walk is the distance from the start position to the destination divided by the time spent for the selected walk; and

if the user'"'"'s health data has deviated from normal standard range data m times during the selected walk, the entire walking process is divided into 2m+1 segments, and the average speed of the selected walk is a weighted average of the average speeds of every segment in the 2m+1 segments, wherein for the m segments where the user'"'"'s health data has deviated from normal standard range data, their weights are negatively correlated with the proportion of the user'"'"'s health data deviating from a normal standard range.

12. The apparatus according to claim 10, wherein:

if the user has failed to reach the destination at the appointed arrival time and the user'"'"'s health data has not deviated from normal standard range data during the selected walk, the weight of the empirical speed is greater than the weight of the average speed of the selected walk; and

if the user has failed to reach the destination at the appointed arrival time and the user'"'"'s health data has deviated from normal standard range data during the selected walk, the weight of the empirical speed is less than the weight of the average speed of the selected walk.

13. The apparatus according to claim 10, wherein if the user has reached the destination at the appointed arrival time, the weight of the empirical speed is equal to the weight of the average speed of the selected walk.

14. A smart walking recommendation method, comprising:

obtaining destination information and appointed arrival time information;

obtaining a start position of a user;

calculating a distance for a selected walk from the start position to a destination based on the start position and the destination information;

determining whether to recommend walking the selected walk based on the distance from the start position to the destination, an empirical speed, and the appointed arrival time information, wherein the empirical speed is updated based on the user'"'"'s health data associated with previous walks, and deviations in said user'"'"'s health data from normal standard range data; and

in response to determining to recommend walking the selected walk, outputting a walking recommendation to the user.

15. The method according to claim 14, wherein determining whether to recommend walking based on the distance from the start position to the destination, an empirical speed, and the appointed arrival time information comprises:

calculating a time t=s/v_avg required for the user to reach the destination, where s is the distance from the start position to the destination, and v_avg is the empirical speed; and

if t<

t₁−

t₀−

ε

, recommending the user walking the selected walk, otherwise not recommending walking, where t₁ is the appointed arrival time, t₀ is start time, and ε

is a pre-specified buffer time value;

wherein when the method is executed for a first time, the empirical speed v_avg is an average speed of a population to which the user belongs, and when the method is executed again, the empirical speed v_avg is an empirical speed updated based on the user'"'"'s previous walking data from the previous walks.

16. The method according to claim 14, further comprising:

monitoring the user'"'"'s health data and the current speed in real time after the user has determined to take the selected walk;

comparing the user'"'"'s health data with normal standard ranges;

calculating the remaining distance and time;

generating a recommendation for adjusting the speed based on results of the comparison, the current speed, and the remaining distance and time; and

outputting the recommendation for adjusting the speed to the user.

17. The method according to claim 16, wherein generating a recommendation for adjusting the speed based on results of the comparison, the current speed, and the remaining distance and time comprises:

if any item of the user'"'"'s health data deviates from a normal standard range, generating and outputting to the user a deceleration recommendation until the user'"'"'s health data is restored to the normal standard range; and

if all the user'"'"'s health data is in normal standard ranges and the current speed is lower than

18. The method according to claim 14, further comprising:

after the user has finished the selected walk, updating the empirical speed with a weighted average of the empirical speed and an average speed of the selected walk.

19. The method according to claim 18, wherein:

if the user'"'"'s health data has not deviated from normal standard ranges data during the selected walk, the average speed of the selected walk is the distance from the start position to the destination divided by the time spent for the selected walk; and

if the user'"'"'s health data has deviated from the normal standard range data m times during the selected walk, the entire walking process is divided into 2m+1 segments, and the average speed of the selected walk is a weighted average of the average speeds of every segment in the 2m+1 segments, wherein for the m segments where the user'"'"'s health data has deviated from normal standard range data, their weights are negatively correlated with the proportion of the user'"'"'s health data deviating from the normal standard range.

20. The method according to claim 18, wherein:

if the user has failed to reach the destination at the appointed arrival time and the user'"'"'s health data has not deviated from normal standard range data during the selected walk, the weight of the empirical speed is greater than the weight of the average speed of the selected walk; and

if the user has failed to reach the destination at the appointed arrival time and the user'"'"'s health data has deviated from normal standard range data during the selected walk, the weight of the empirical speed is less than the weight of the average speed of the selected walk.