exemplary embodiments provide a system for displaying messages on a mobile wireless device based on the data read from a biometrics device associated with a user . in further embodiments , the message is tailored toward the user &# 39 ; s personal weight loss and exercise program . fig1 is an illustration of the physical structure of a system according to an example embodiment . connections between components permit data to flow in both directions . a laptop or desktop personal computer 14 is connected to a server 16 through the internet 15 . the server 16 is connected to one or more databases 17 , 18 comprising user data , nutritional and recipe , diet , and exercise data , message data , and other data as may be required to provide the features and functionality . the server 16 is connected to communication networks 13 through the internet 15 . the various communication networks 13 facilitate communications with a user 10 portable technology 12 which may include cellular or mobile phones , personal digital assistants , or any other portable device capable of sending and receiving communications through the communication networks 13 . a biometric device 11 may be associated with the user such that it reads the user &# 39 ; s biometric data and transmits it to the communications network 13 , which relays the signal to the server 14 for use by an expert system . the biometric device 11 may monitor heart rate , blood pressure , pulse rate , pedometer activities , and other parameters . based on the biometric data received by the expert system , the expert system stores and analyzes the data and sends a message to be displayed on a mobile device 12 . the message is relayed through the communications network 13 and sent to the mobile device 12 . the mobile device 12 may consist of any one of the following : cell phones , pda &# 39 ; s , blackberrys ™, iphones ™, any other portable device that is capable of receiving messages and displaying them for a user . the biometric device 11 may be a conductive fiber , optical device , a pulse transducer or any other device known in the art for calculating biometrics . conductive fibers involve fabrics that can conduct electricity for monitoring many different types of activities . electrical conductivity is supplied through elastic , highly conductive , composite fibers that can be incorporated into apparel . examples of activities that can be monitored through the use of conductive fibers include heart rate , blood pressure , pulse rate , and pedometer activities . optical devices use chip based technology that allow for tracking of heart rate and pedometer activity through contact with the wrist . pulse transducers are based on piezo technology , such that the pulse transducer converts force that is applied to the transducer surface into electrical signals , which can be monitored and analyzed . a user &# 39 ; s heart rate can be monitored using pulse transducers . in one embodiment , the biometric sensors have means to wirelessly communicate to the same remote , expert system as the wireless communications device . the expert system receives a message detailing the user &# 39 ; s biometrics , stores the message , integrates the message with the user &# 39 ; s personal diet and exercise profile , and sends out a reply message related to biometric data . the analysis completed by the expert system at the server 14 to formulate the message may simply consist of forwarding the biometric data or it may consist of relating the data to the user &# 39 ; s diet and exercise plan data . plan data may include what the user has eaten , what the user will eat , what activities the user has performed and their effectiveness , what activities the user will perform and their projected effectiveness , the user &# 39 ; s goals as to weight loss and exercise , and / or personal information about the user such as body type , weight , and height . relating the biometric data to the user &# 39 ; s diet and exercise plan data may involve determining how effective the activity is and comparing the data with the user &# 39 ; s goal for the activity . determining the goal or effectiveness of the activity may involve calculating how many calories are being burned , or the rate of calories burned per period of time , amount / rate of fat burned , etc . the amount of time the user has been performing the activity and / or how long the activity is expected to take may also be used in the calculations . the messages may make encouraging remarks about the individual &# 39 ; s progress , or may make suggestions on how the individual should change his / her performance to better meet the goal of the activity . examples include messages such as “ speed up !,” “ slow down ! you &# 39 ; re going too fast !,” “ great job ! keep it up !,” or “ try walking instead of jogging .” furthermore , the individual may send a message to the expert system in response . the expert system may also store the biometric data for later analysis . this analysis may include determining the overall effectiveness of the entire activity , integrating this data with diet and exercise plan data , and dynamically changing a diet and exercise schedule . the diet and exercise schedule comprises types of food to eat and exercise to perform and at what times both should be completed ( e . g ., as shown in fig2 , item 24 ). the diet and exercise schedule may be changed to account for the actual effectiveness of the exercise was compared to the projected effectiveness before it was completed . if the exercise was more effective than projected , extra food may be added to the schedule and / or exercise may be deleted from the schedule . if the exercise was less effective than projected , food may be deleted and / or exercise added to the schedule . the user may be queried to decide how to change the schedule or the expert system may automatically change the schedule . in a further embodiment , the user 10 is not performing an activity , but is simply performing everyday tasks . in this embodiment , the expert system may sample and store the user &# 39 ; s biometric data throughout the day for further analysis . the individual &# 39 ; s overall daily activities may be considered in developing a weekly or monthly diet and exercise schedule . users complete an enrollment process in which they provide information for a profile comprising diet and exercise preferences and identifying health behavioral challenges . a user may provide contact and background information ( such as information for contacting the user &# 39 ; s cell phone ), specify a sex , age , weight , height , and weight goal , specify preferences related to diet and exercise , and identify personal behavioral challenges . the user &# 39 ; s profile data and specified goal and diet and exercise preferences are considered by the expert system to tailor messages . the user accesses a website to navigate through the screens and provide data and information that allows the system to build a profile for the user comprising diet and exercise preferences as well as behavioral challenges . a user may specify a type of diet plan he or she would like to follow ( e . g ., a balanced plan that emphasizes a diet of reduced calories as well as reduced fat and sugar , a healthy carbohydrate plan that emphasizes a diet of lean meats , fish , dairy , and nuts , or a mediterranean plan that emphasizes a diet of fish , grains , fruits , vegetables , beans , and nuts ). the user also specifies food preferences by selecting a food category and identifying the foods in each category that he or she does not like or wants to avoid . the user may further specify a time of day for eating breakfast , lunch , and dinner as well as a snack . the user may specify a meal preparation preference that indicates the user &# 39 ; s preferences for obtaining breakfast , lunch , and dinner on weekdays and weekends . meal preparation options may include : 1 ) quick and easy ( fewer than 10 minutes to prepare ); 2 ) cook at home ( more than 10 minutes to prepare ); 3 ) frozen or ready to eat ; 4 ) fast food ; or 5 ) order from restaurant . the meal preparation preferences provide additional data for the expert system to consider when generating messages to the user related to meal suggestions . finally , the user may identify behavior challenges that interfere with the user &# 39 ; s ability to reach a particular health goal . referring to fig2 , a screen shot of an exercise plan interface according to an example embodiment is shown . there are instructions 20 informing the user of how to choose an exercise plan . there is a list of activities from which to choose 21 , each with a picture icon of the activity and information on approximately how many calories / hour are burned while performing the activity . a selected activity is chosen from the list 21 and dragged to a selected day of the week on the schedule below 22 . the user is then queried for a time of day to begin the selected activity and the amount of time to perform the activity 23 . this information is saved and the expert system may use it to formulate a goal for the user and to develop a plan for the user . another webpage may be used to input a user &# 39 ; s goals as to weight loss , exercise stamina and rate , or exercise biometrics goals . a message may be sent to the mobile device 12 a few minutes before the activity is to be performed reminding the user to set up the biometric device 11 and complete the activity . fig3 is a screen shot of one embodiment of the diet and exercise schedule interface . it shows the date 30 which can be moved up or back as well as a complete meal schedule for the day 31 and a physical activity included 32 . if the physical activity is selected , a more detailed explanation is shown in the box below 33 , where the activity duration can be changed 34 . also , the entire schedule may be updated if the “ update ” option 35 is selected . a goal weight listing is also shown 37 . the expert system uses an individual &# 39 ; s exercise plan and schedule information as well as biometric data that it receives to tailor messages regarding the individual &# 39 ; s exercise program . as indicated previously , the expert system may provide feedback to an individual during a physical activity suggesting a modification to the intensity level of the activity to help the individual reach a weight or exercise goal . alternatively , if the individual is exercising at an appropriate level of intensity , the expert system may simply encourage the individual to keep performing the activity until the activity is scheduled to end . any embodiment may include any of the optional or preferred features of the other embodiments . the exemplary embodiments herein disclosed are not intended to be exhaustive or to unnecessarily limit the scope of the invention . the exemplary embodiments were chosen and described in order to explain the principles so that others skilled in the art may practice the invention . having shown and described exemplary embodiments , those skilled in the art will realize that many variations and modifications may be made to affect the described invention . many of those variations and modifications will provide the same result and fall within the spirit of the claimed invention . it is the intention , therefore , to limit the invention only as indicated by the scope of the claims .
a system and method for using biometric data received from a user to generate feedback messages for transmission to the user while the user performs a physical activity . wireless biometric sensors such as those used to monitor heart rate , blood pressure , and pulse rate are integrated into a user &# 39 ; s diet and exercise plan and the personalized instruction that the individual receives . an expert system uses the biometric data to monitor the effectiveness of the physical activity and generate feedback messages . the expert system then sends the messages to the user &# 39 ; s mobile device . the messages may inform the user of the biometric data , may provide positive reinforcement related to the user &# 39 ; s progress toward a stated goal , or may suggest modifications to the physical activity to assist the user in reaching a stated goal .