Small changes to README_coach.md

docs/README_coach.md

@@ -1,5 +1,21 @@
 # Extending open rowing monitor (mostly javascript)
 
+We can use python functions via node.json to use [RowingData](https://pypi.org/project/rowingdata/) [See below](## RowingData)
+
+* [child_process.spawn() function](https://nodejs.org/api/child_process.html#child_processspawncommand-args-options)
+* [child_process.spawnSync](https://nodejs.org/api/child_process.html#child_processspawnsynccommand-args-options)
+
+[How to run a python script from node.js](https://www.halo-lab.com/blog/how-to-run-a-python-script-from-node-js)
+
+or we can use [node-calls-python](https://www.npmjs.com/package/node-calls-python) to call
+Python from Node.js directly in-process without spawning processes using an
+embedded Python interpreter. [More examples](https://github.com/hmenyus/node-calls-python/tree/main/test)
+
+If the execution time of your Python code is less than creating a new process,
+you will see significant performance problems because your Node.js code will
+keep creating new processes instead of executing your Python code. Suppose you
+have a few NumPy calls in Python,you don't want to create a new process for that
+
 ## Libraries
 
 * [Node.js](https://nodejs.org/en) is a JavaScript runtime environment that lets developers create servers, web apps, command line tools and scripts.
@@ -220,7 +236,7 @@ https://www.chartjs.org/docs/latest/samples/line/line.html
 * Calories used (kcal)
 * Training Duration
 * Heart Rate (supports BLE and ANT+ heart rate monitors, ANT+ requires an ANT+
-USB stick USB id 0x1008 or 0x1009)
+  USB stick USB id 0x1008 or 0x1009)
 
 * web sockets front end
 * BLE (FTMS indoor bike, FMTS rower, concept2 PM)
@@ -235,12 +251,18 @@ and csv raw data.
 
 Make the data accessible in python and create useful plots.
 
-* Color HR band charts or Pie Charts (implemented)
+* Upload fitness data captured in TCX format to the Concept2 logbook
-* Plot drive length, drive time, and other erg related parameters as a function
+* Get erg data captured with apps that have no “upload to Concept2”
-of time or distance (implemented)
+  functionality and upload   them to the Concept2 logbook
-* Create histograms (Do-it-yourself).
+* Get erg data captured with apps that have no TCX export functionality and
-* And much more (do-it-yourself). You’ve got the entire Python matplotlib at
+  convert hem to TCX
-your disposal. Goodbye excel!
+* Make the data accessible in python and create useful plots.
+  * Color HR band charts or Pie Charts
+  * Plot drive length, drive time, and other erg related parameters as a function
+    of time or distance (implemented)
+  * Create histograms (Do-it-yourself).
+  * And much more (do-it-yourself). You’ve got the entire Python matplotlib at
+    your disposal.
 
 The project is based on:
 
@@ -278,19 +300,18 @@ program in relation to improvements over time.
   Heart rate should remain below upper limit of "expected zone".
   Advise that heart rate above upper limit by >1 bpm means user must reduce
   effort.
-
 * Instruction on when to take rest days.
 * Recording of heart rate after work-outs too, to identify pending illness.
 * Coach warns of overtraining when performance declines steadily over, say 4 or
   more, days.
   * When overtraining is indicated, Coach suggests: skip a day or two; eat more;
-  Coach also warns of overtraining when, after a skip, performance has not
+    Coach also warns of overtraining when, after a skip, performance has not
-  returned to before.
+    returned to before.
 * Coach suggests work rates based on recent past performance.
   * Perhaps present this as a choice for the user, perhaps between:
-  (Coach's default, perhaps based on yesterday's performance), and (user choice).
+    (Coach's default, perhaps based on yesterday's performance), and (user choice).
-  (yesterday's performance) and (the day before's performance).
+    (yesterday's performance) and (the day before's performance).
-  (low|easier|"get the job done") versus (high|harder|"make a mark").
+    (low|easier|"get the job done") versus (high|harder|"make a mark").
 * Marking of results of rows rows taken in contravention of instructions.
 * Display of recorded rows highlighting contraventions, say in red.
 * Have an optional way to, temporarily, display results without the red.
@@ -309,8 +330,44 @@ program in relation to improvements over time.
 * For athlete levels 1 (not exercised for 3 years) to 5 (hero).
 * Have table of suggested rowing effort and duration.
 
+## Sensor Methods
+
+### IMU
+
+motion analysis, most require athletes to wear sensors to acquire their posture data; however, this method easily introduces noise due to friction during motions
+
+[AUTOMATED ROWER ASSIGNMENT TO ROWING EVENTS: A MACHINE LEARNING APPROACH](https://commons.nmu.edu/cgi/viewcontent.cgi?article=2810&context=isbs)
+
+### Video
+
+2D pose analysis using [OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) system to capture the skeletal joints of individuals, even in complex postures, using a simple camera.
+
+[OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) Real-time multi-person keypoint detection library for body, face, hands, and foot estimation, with python api.
+[OpenPose Video](https://www.youtube.com/watch?v=OgQLDEAjAZ8)
+
+[Automatic Rowing Kinematic Analysis Using OpenPose and Dynamic Time Warping]()
+
+[Intelligent Performance Evaluation in Rowing Sport Using a Graph-Matching Network](https://pmc.ncbi.nlm.nih.gov/articles/PMC10532480/)
+This study aimed to develop a video-based approach to analyze the performance of
+rowing poses of rowing pairs. To enable effective automatic comparison of rowing
+poses, the OpenPose system was used to extract robust rowing pose features and
+convert them into a graph structure. Subsequently, the GEM and GMN models were
+utilized to analyze the similarities in rowing postures between each pair of rowers.
+
+### [Rowsandall](https://analytics.rowsandall.com/) Rowsandall Rowing Data Analytics
+
+[Rowsandall Manual](https://analytics.rowsandall.com/2022/04/12/training-planning-updated-manual-for-rowsandall-com/)
+[In-Stroke Metric Analysis Comparison](https://analytics.rowsandall.com/2022/10/29/in-stroke-metric-analysis-comparison/)
+[Force Curves and In-Stroke Analysis](https://analytics.rowsandall.com/2024/06/20/how-to-work-with-force-curves-and-in-stroke-analysis/)
+[Quantifying Training Intensity Distribution](https://analytics.rowsandall.com/2021/06/10/quantifying-training-intensity-distribution-new-tool/)
+
+[RowingData](https://pypi.org/project/rowingdata/)
+
+
 ## Other projects
 
+### [Rider ride data from TCX plotted](https://www.kaggle.com/code/runesh/rider-ride-data-from-tcx-file-plotted-on-a-graph) python notebook
+
 ### [dynrow](https://github.com/monsdar/dynrow)
 
 Displays thorough statistics about your current workout. In addition to that
@@ -318,15 +375,15 @@ there should be a variety of bots available. Here are a few ideas:
 
 * *Constant pace:* This is useful if you want to row in a certain tempo
 * *Boomerang:* They're rowing at a constant pace, but if they get behind you
-they will row faster. If they get too far in front, they'll decelerate to
+  they will row faster. If they get too far in front, they'll decelerate to
-let you keep up with them. They're almost like the constant pace boats, but
+  let you keep up with them. They're almost like the constant pace boats, but
-they'll always be around. This leads to having opponents around even at the
+  they'll always be around. This leads to having opponents around even at the
-longest training sessions
+  longest training sessions
 * *Heartrate:* You set up your desired target heart rate and the bot will row
-faster/slower according to your current heart rate
+  faster/slower according to your current heart rate
 * *Ghostrider:* This bot replays a previously rowing session of yourself
 * *Intervals:* Usually this bot runs on a constant pace, but it'll push the
-tempo from time to time.
+  tempo from time to time.
 
 ### Elevate
 
@@ -372,6 +429,12 @@ BLE service). This is displayed as an ECG trace and heart rate graph over time.
 
 ### Android
 
+### [Quiske App](https://www.rowingperformance.com/tutorial)
+
+[Android 13 app](https://play.google.com/store/apps/details?id=com.quiske.rowingperformance&hl=en_GB) plus 'pod' (presumably an IMU) euro395
+
+The phone is attached to the handle and the pod to the seat.
+
 ### [EXR](https://play.google.com/store/apps/details?id=com.SaltyLemonEntertainment.EXR)
 
 EXR | Row together Virtually Subscription:  € 7,95/month
@@ -436,3 +499,10 @@ The PM6 Super Plus:
   because sometimes I'm just not feeling a track. Hate myself for adding this
   one but it would be cool as hell, plus great to be able to make changes
   (e.g. add 1000m to a steady state piece) mid-row without breaking rhythm.
+
+## Books
+
+* Biomechanics of Rowing -- Valery Kleshnev -- Crowood
+  for people who want to measure numbers in rowing, relate them to technique
+  and give specific advice to coaches and rowers.
+* Rowing Faster - 2nd Edition -- Volker Nolte -- 2, 2011 -- Human Kinetics