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Funded by AWS Activate - AWS Activate

https://github.com/obrienlabs/biometric/wiki

https://github.com/obrienlabs/biometric-ios

BIOMETRIC-12 - Getting issue details... STATUS

Java Spring JPA Microservice on Kubernetes or EKS or ECS or Docker or Beanstalk or EC2 Tomcat Spring Boot

Requirements/Features




R1Redundant HRM tracking
R2Location based tracking correlation
R3Sensor tracking correlation
R4Data persistence on device
R5Data persistence on remote cloud
R6Live tracking of device via cloud
R7Cloud data export
R8Android specific requirements
R9iOS specific requirements

Work Items




WI1XCode project
WI2Java backend
WI3JS frontend
WI4Persistence backend
WI5Cloud infrastructure
WI6Get AWS Activate funding
AWS Activate

BIOMETRIC-16 - Getting issue details... STATUS










Use Cases

Location Tracking

Everywhere I turned on tracking is available from the DB.

run the following to get the list of record sets (ones ending in 5 are exercise specific)

SELECT distinct userId  FROM biometric.gps_record r where  r.userId like '202002%';

# KML for google earth

http://biometric.elasticbeanstalk.com/FrontController?action=kml&u=202002210



Heart Rate Tracking

iPhone X client screen and a mobile web based monitoring screen.

Geo Tracking / Inventory

Heart rate fitness derivation

The heart rate follows the capacitator charge graph - logarithmic rise and logarithmic drop on exercise stop - an indicator of fitness

For example In the following graph you see that my fitness level increased by day 10 for 3 reasons (after I first started running in 2013 - the acceleration to peak rate, the peak rate and the deceleration from the peak rate.  The slower the rise combined with a lower absolute rise combined with a swift return is optimal

Heart rate correlation to geography


Bluetooth 4 LE Mobile Rest client on iOS 12/3 with a backend JAX-RS JPA 2 Java cloud service on AWS


# Overview


- Full phone metric capture - GPS, Gravity, Accell, Orientation, Magnetic field, pressure, altitude, ambience, heading


- Additional device capture - 2 HRM bluetooth LE metrics - 2A37

- Derived metric capture - Geohash, speed


# JIRAs

Older system : https://obrienlabs.atlassian.net/projects/BIOM/issues/BIOM-2?filter=allopenissues

https://github.com/obrienlabs/biometric/issues


# Features

- Live google maps/HRM browser based user tracking

- KML google earth extract

- CSV extract

- XML extract











Design

Implementation

Virtual Machine based - EC2 - VMware

Docker Based

Kubernetes Based - RKE

Serverless Based - Lambda

Databases

Relational

MySQL Docker

Databases#RaisingMySQLinDocker

mysql> select * from biometric.gps_record where userId='201904080' order by heart2 DESC LIMIT 1;
+----------+-----------+-----------+-----------+---------------+---------------+---------+--------------+----------+----------+----------+-------+-------+-------+--------+--------+--------+--------+----------+---------------+-------+-----------+-----------+-----------+----------------+------+-----------+------+----------+----------+-----------+----------+----------+-------+------+------------+------------+----------+---------------+---------------+-----------+---------+
| IDENT_ID | ACCELX    | ACCELY    | ACCELZ    | ACCURACY      | ALTITUDE      | bearing | geohash      | GRAVX    | GRAVY    | GRAVZ    | GYROX | GYROY | GYROZ | HEART1 | HEART2 | HRDEV1 | HRDEV2 | humidity | LATITUDE      | light | LINACCX   | LINACCY   | LINACCZ   | LONGITUDE      | PRES | provider  | PROX | RECV_SEQ | ROTVECX  | ROTVECY   | ROTVECZ  | SEND_SEQ | speed | temp | teslaX     | teslaY     | teslaZ   | tsStart       | tsStop        | userId    | version |
+----------+-----------+-----------+-----------+---------------+---------------+---------+--------------+----------+----------+----------+-------+-------+-------+--------+--------+--------+--------+----------+---------------+-------+-----------+-----------+-----------+----------------+------+-----------+------+----------+----------+-----------+----------+----------+-------+------+------------+------------+----------+---------------+---------------+-----------+---------+
| 11271220 | -0.763702 | -1.003540 | -0.230164 | 65.0000000000 | 76.0890050000 |      99 | f244mkh5h13t | 0.000000 | 0.000000 | 0.000000 | NULL  | NULL  | NULL  |   NULL |    109 | NULL   | NULL   | NULL     | 45.4180030000 | NULL  | -0.763702 | -1.003540 | -0.230164 | -75.7011200000 | NULL | 12.100000 | NULL |  3662206 | 0.532636 | -0.462588 | 0.541578 |     2234 |    -1 | NULL | -69.590858 | -20.243172 | 0.503548 | 1554738044948 | 1554738045010 | 201904080 |       0 |
+----------+-----------+-----------+-----------+---------------+---------------+---------+--------------+----------+----------+----------+-------+-------+-------+--------+--------+--------+--------+----------+---------------+-------+-----------+-----------+-----------+----------------+------+-----------+------+----------+----------+-----------+----------+----------+-------+------+------------+------------+----------+---------------+---------------+-----------+---------+
1 row in set (12.66 sec)

mysql> select count(1) from biometric.gps_record;
+----------+
| count(1) |
+----------+
| 11933650 |
+----------+
1 row in set (11.87 sec)

increase core count from 8 to 14
mysql> select count(1) from biometric.gps_record;
+----------+
| count(1) |
+----------+
| 11933650 |
+----------+
1 row in set (5.32 sec)


Graph

Key Value

Deployment




Links

Covid related - https://www.theglobeandmail.com/business/international-business/article-apple-google-to-adapt-phones-for-virus-infection-tracking/

DND Physical Testing https://www.cfmws.com/en/aboutus/psp/dfit/fitness/forceprogram/pages/force_videos.aspx

https://molecularyou.com/

https://www.supersapiens.com/en-GB/










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