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Merge pull request #433 from dtischler/main
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dtischler authored Dec 16, 2024
2 parents 7f9c85b + 8fe64aa commit f128a5f
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85 changes: 84 additions & 1 deletion .wordlist.txt
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Expand Up @@ -1785,4 +1785,87 @@ FedAvg
EfficientNetB
generalizable
wakeword

OTA
prepends
inplace
LightGBM
XGBoost
IRz
mqk
Mixkit
Pixabay
Zapsplat
MFTXcNMNgSU
hypoxia
hatchling
pisciculture
Cambarellus
Diminutus
Neocaridina
livebearers
Mbit
URM
blox
UNIHIKER
RetinaNet
Kitronik
DXF
coprocessor
ACC
ACC
Sakura
Rili
Poso
Nerite
Ramshorn
overbreeding
emersed
frogbit
pothos
marimo
BotFather
newbot
tetris
ew
ghIkl
zyx
setuserpic
setdescription
getUpdates
scandir
blox
MobaXterm
UNIHIKER's
libatlas
libportaudio
libportaudiocpp
cython
Cython
pyaudio
modbus
LSB
UltrasonicScan
selectable
sera
onclick
GoogLeNet
noaa
Engler
SensiEDGE
Rovai
Datalog
SensiEDGE's
Mainboard
CScanner
APDS
Acc
HH
LPS
MDL
SGP
duino
Sensirion
Pololu
VLS
SRA
Hymel
1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -171,6 +171,7 @@ Gestures, movements, and other motions classified by machine learning models to
* [Porting a Posture Detection Project from the SiLabs Thunderboard Sense 2 to xG24](accelerometer-and-activity-projects/silabs-xg24-posture-detection.md)
* [Porting a Gesture Recognition Project from the SiLabs Thunderboard Sense 2 to xG24](accelerometer-and-activity-projects/silabs-xg24-gesture-recognition.md)
* [Continuous Gait Monitor (Anomaly Detection) - Nordic Thingy:53](accelerometer-and-activity-projects/continuous-gait-monitor-nordic-thingy53.md)
* [Classifying Exercise Activities on a BangleJS Smartwatch](accelerometer-and-activity-projects/classify-exercise-activities-banglejs-smartwatch.md)

### Air Quality & Environmental Projects

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Expand Up @@ -157,6 +157,7 @@
* [Porting a Posture Detection Project from the SiLabs Thunderboard Sense 2 to xG24](accelerometer-and-activity-projects/silabs-xg24-posture-detection.md)
* [Porting a Gesture Recognition Project from the SiLabs Thunderboard Sense 2 to xG24](accelerometer-and-activity-projects/silabs-xg24-gesture-recognition.md)
* [Continuous Gait Monitor (Anomaly Detection) - Nordic Thingy:53](accelerometer-and-activity-projects/continuous-gait-monitor-nordic-thingy53.md)
* [Classifying Exercise Activities on a BangleJS Smartwatch](accelerometer-and-activity-projects/classify-exercise-activities-banglejs-smartwatch.md)

## Air Quality & Environmental Projects

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---
description: >-
Teach dsfdsafasdfa.
---

# Classifying Exercise Activities on a BangleJS Smartwatch

Created By: Thomas Vikström

Public Project Link: [https://studio.edgeimpulse.com/public/xxxxx/latest](https://studio.edgeimpulse.com/public/xxxxxx/latest)

![](../.gitbook/assets/classify-exercise-activities-banglejs-smartwatch/zxxxxxxxxxxx)

## Introduction

{% embed url="https://dms.licdn.com/playlist/C5605AQG1aGpTxexuEA/mp4-720p-30fp-crf28/0/1643476785118?e=1659549600&v=beta&t=41wS70vCISf2P4Zr3GIP1daHeR2kX1ZCz8FUsKiQHVg" %}


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Expand Up @@ -15,7 +15,7 @@ GitHub Repo: [https://github.com/Mjrovai/Sony-Spresense](https://github.com/Mjro

## Introduction

This tutorial will develop a model based on the data captured with the [Sony Spresense](https://www.sony-semicon.com/en/products/spresense/index.html) sensor extention board, [SensiEDGE's CommonSense](https://www.sensiedge.com/commonsense).
This tutorial will develop a model based on the data captured with the [Sony Spresense](https://www.sony-semicon.com/en/products/spresense/index.html) sensor extension board, [SensiEDGE's CommonSense](https://www.sensiedge.com/commonsense).

The general idea is to explore sensor fusion techniques, capturing environmental data such as temperature, humidity, and pressure, adding light and VOC (Volatile Organic Compounds) data to estimate what room the device is located within.

Expand Down Expand Up @@ -146,17 +146,17 @@ The package of the Spresense board has 4 spacers to attach the Spresense main bo

![](../.gitbook/assets/environmental-sensor-fusion-commonsense/image-12.png)

Insert them on the Extention board and connect the main board as below:
Insert them on the Extension board and connect the main board as below:

![](../.gitbook/assets/environmental-sensor-fusion-commonsense/image-13.png)

Once the Main Board is attached to the Extension Board, insert an SD card (Formated as FAT32).
Once the Main Board is attached to the Extension Board, insert an SD card (Formatted as FAT32).

### Testing the SD Card Reader

Run: Examples → File → read_write.ino under Espressif.

You should see the messages on the Serial Monitor showing that "testando…" was written on the SD card. Remove the SD card and check it on your computer. Note that I gave my card the name DATASET. Usually, for new cards, you will see, for example, NO NAME.
You should see the messages on the Serial Monitor showing that "testing…" was written on the SD card. Remove the SD card and check it on your computer. Note that I gave my card the name DATASET. Usually, for new cards, you will see, for example, NO NAME.

![](../.gitbook/assets/environmental-sensor-fusion-commonsense/image-14.png)

Expand Down Expand Up @@ -250,7 +250,7 @@ Download the Arduino Library and install it (as .zip): [https://www.artekit.eu/r
Install the STM32duino HTS221 directly on the IDE Library Manager

3. SGP40 Gas Sensor
Install the Sensrion I2C SGP40
Install the Sensirion I2C SGP40

4. LPS22HH Pressure Sensor
Install the STM32duino LPS22HH
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