dm00258096

DN0034
Design note
G-Module
An Inertial and Environmental Sensor Module for IoT
Designs from our labs describe tested circuit designs from ST labs which provide optimized solutions
for specific applications. For more information or support, visit www.st.com
By Michael Galizzi
Main components
BlueNRG-MS CSP
Bluetooth Low Energy Network Processor
BALF-NRG-01D3
50 Ω nominal input / conjugate match balun to BlueNRG
STM32F411CEY
High-performance, ARM Cortex-M4 core with DSP and FPU
LSM6DS3
iNEMO inertial module: 3D accelerometer and 3D gyroscope
LIS3MDLTR
Ultra low-power, high performance 3-axis magnetometer
UVIS25
Digital UV Index sensor: 0 - 15 UV Index output range
LPS25HBTR
MEMS pressure sensor: 260-1260 hPa absolute digital output
LD39115J25R
150 mA low quiescent current low noise voltage regulator
STC4054GR
Li-Ion Battery charger with therminal regulation
BAT60J
Small Signal Schottky Diode
Specification

Bluetooth Low Energy Master-Slave V4.1

USB or battery powered MEMS module

Low power consumption (down to 3 mA in continuous raw data streaming, up to 10 mA
with MotionFX sensor fusion algorithm running at 100 Hz),

13.5 mm x 13.5 mm size

Embedded sensor fusion for orientation estimation (IMU, AHRS)

Embedded Activity recognition algorithm
Circuit description
Inertial Measurements Units (IMUs) provide core functions for essentially any wearable or
embedded device and exhibit the most promising technology for applications where an
accurate and reliable estimation of limb position and orientation is required. These
systems, typically based on the combination of a triaxial geomagnetic sensor (MARG:
Magnetic, Angular Rate, Gravity) and a microcontroller, can be enhanced by means of a
Bluetooth LE radio interface. The orientation estimation processing can be performed on
board, leading to an Attitude and Heading Reference System (AHRS).
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Figure 1. Block Diagram
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Figure 2. G-Module on cradle
Figure 3. G-Module pin out and size comparison
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Figure 4. Circuit diagram, BlueNRG
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Figure 5. Circuit diagram, Sensors
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Figure 6. Circuit diagram, STM32 microcontroller
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Figure 7. Circuit diagram, other
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Bill of material
January 2016
Name
Manufacturer
Device
Package
U5
STMicroelectronics
STM32F411CEY
WLCSP49
U2
STMicroelectronics
LD39115J25R
FLIP-CHIP4
U11
STMicroelectronics
LIS3MDLTR
LGA-12
U10
STMicroelectronics
LSM6DS3
LGA-14L
U6
STMicroelectronics
BlueNRG-MSCSP
WLCSP36
U13
STMicroelectronics
LPS25HBTR
HCLGA-10L
U4
STMicroelectronics
BALF-NRG-01D3
CSP4
U12
STMicroelectronics
UVIS25
HCLGA-10L
D1
STMicroelectronics
BAT60J
SOD323
U7
STMicroelectronics
STC4054GR
SOT23-5L
U8
Alps Electric Co.
SSAJ120100
X2
AVX
CX2016DB32000D0FLJCC
C11
C1, C3, C6, C7,
C8, C16, C19,
C44, C32, C34
AVX
02016D225MAT2A
C0201
AVX
02016D225MAT2A
C0201
C29
Samsung
CL03A474KQ3NNNC
C0201
C30
C2, C4, C5, C9,
C10, C13, C15,
C33, C43
TDK
C0603X5R1A154K030BB
C0201
Murata
GRM033R60J104KE19D
C0201
C12, C17
AVX
02013A150JAT2A
C0201
C14, C31
AVX
02013A101JAT2A
C0201
L11
Pulse Electronics
W3008C
R3
Any
R0201
R2
Any
R0201
C18, C20
Any
C0201
L13
TDK
R1
Any
MLF1608E100K
L0603
R0402
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Measurement results
An activity recognition algorithm (osxMotionAR available on st.com) has been designed
and validated on G-Module and can detect and recognize stationary activity, walking, fast
walking, jogging, biking and driving activity with a mean power consumption as low as
700uA @ 5 V.
Figure 8. G-Module test display on Android phone
A 6DOF (degrees of freedom), iNEMO Engine Lite sensor fusion and a high performance
sensor fusion (osxMotionFX available on st.com) has been ported, tested and validated on
the module. An embedded 6DOF magnetometer calibration procedure is available in order
to compensate magnetic distortion. The quaternion based output of orientation estimation
algorithm and raw sensor data can be remotely logged using a dedicated Android/iOS app.
Figure 9. G-Module displays on phone or tablet app
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Support material
Related design support material
Product/ system Evaluation board (G-Module, Programming Cradle and SWD to JTAG adapter)
Software Development Kit (containing examples and source code for Atollic TrueSTUDIO, IAR
Embedded Workbench and SystemWorkbench for STM32)
Android and iOS app interfacing G-Module
Gerber files (on request Eagle file can be provided)
PCB layout, bill of materials and schematics files
Revision history
Date
19-Jan-2016
Version
1
Changes
Initial Release
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