InvenSenseWearable Market

Sam MassihSr. Director Wearable/IoT

Market Drivers and Success Stories

2

Wearable Tech Applications

Wrist Worn• Fitbit, Jawbone, Polar, Samsung, LG, Sony, Motorola,

Asus

Necklace• Misfit

Hip Worn• Omron, Fitbit, Fitbug,

In-Ear• Sony, Bragi

Smart Glasses/HMD• Google, Vuzix, Oculus, Epson

Ring• Nod, Logbar

Smart Clothes• Citizen Science

3

Wearable Success Stories (within last 6 months)

4

MattelICS-43434

BragiMPU-9250 MPU6500

OctonionMPU-9250

LG Urbane 2 WatchMPU-6515

ZeppITG-3701

Fitbit SurgeMPU-9250

FireFly SoC + Audio Mics + 6/9-Axis

Qiwo Smart WatchICM-30630

Intel/FossilICS-43432

SonyMPU-6500

SK TelecomMPU-6555

ZiktoMPU-6555

Wearable Business Model

MEMS SoC

Consumer Devices(Watch, Band, HMD, Tracker, etc.)

Apps

Cloud Data/Analytics

Access & Services

5

Wearable Sensor Platform System Solutions

Wrist Worn Health/Fitness Feature Set

Activity/Context Steps, Activity, Sleep

Vital Signs MonitoringPPG Motion Artifact Correction

HRV

OEM Health/Fitness

Cloud

Green – Available Now

Barometer SupportFloors Climbed

Sensor Assisted GNSSRunning: Speed/Distance/RouteBiking: Speed/Distance/Route

Context Awareness/Activity Recognition

Step Count isn’t Enough

Wearable Market Moving to Context/Activity:

Android Wear Requirement(Since Android-L release)

Better Data Analytics to Deliver Targeted Services

More Accurate Calorie Count

Wearable Market Today is Pedometer Only:

• Step Count isn’t valuable after a while• Hard to deliver Cloud Services on Step Count only• Calorie info is not accurate

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Low-Med-High End Solutions

Wearable FireFly™- ICM-30631

6-axis Raw Sensor SensorICM-20602 or ICM-20690

Activ

itySt

atis

tics

Raw

Dat

a Se

nsor

Sens

or

Supp

ort

Ges

ture

s

6/9-axis “Smart” SensorICM-20648 or ICM-20948

Activ

ity-

Cla

ssifi

er

B2S

Vital Sign Monitoring

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Heart rate (PPG based) ProblemsSolution: Remove

motion artifact from the PPG light signal Problem: Heart rate measurement is not reliable when body is in motion

Motion Artifact Correct

ed BPM

Sensor based motion

PPG=Heart rate + motion artifacts

HRM Algo MIPS Size HRM Tracking Performance [bpm 1σ]

Code Data Stationary Walking Running

InvenSense(Cortex M4 Lib)

1 15KB 17KB ±3 ±4 ±6

PAH8001PAH8002 ADPD174PPS960

(includes AFE4404)

PPG Sensors Supported

INVN Performance:High Pulse Low Pulse Transitions

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INVN HRM algorithm able to RELIABLY conduct motion artifact removal resulting in good BPM

tracking

Speed/Distance/Routew/ GNSS Duty Cycle

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GPS is a Wearable Battery Killer

• Sensors + GNSS Integration– Low Power Mode: 50% Lower Power than GPS– OpenSKy: Similar speed/distance Accuracy– MultiPath: Improved speed/Dist Accuracy– 100% Coverage in Denied Environments– Improved Workout Credit

• Available Wrist Worn Wearable and Mobile Fitness App

Fitbit Surge: - 7 day Battery life- 5hr GPS Battery life

TomTom GPS Watch: - 17 day Battery life- 10hr GPS Battery life

Problem: GPS Usage Kills Battery Life

Strava Fitness Apps- 4-6hr Battery Life w/ GPS

Solution: Coursa SportsUse Less GPS and Keep Accuracy of Speed/Dist/Route

Coursa Sports vs. Strava

GPS used for Coursa Sports

Coursa Sports vs Strava vs ReferenceReferenceStravaCoursa Sports

ReferenceIPL Sports

ConclusionIPL Sports can deliver the same accuracy as Strava (who uses 100% GPS) but with

only 25% GPS

Coursa Sports – for OEMs

GPS Device(with Coursa Sports)

Speed/Dist/Route Service

CustomerCloud

Route

GNSS, MotionSpeed/Distance

+ More Accurate Speed/Distance

• Eliminate GPS route outages• More accurate speed/distance• Improved elevation accuracy• Extend Battery life

Realtime

Route +More AccurateSpeed/Distance

Wearable Go-To-Market Strategy

Wearable SoC

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FireFly™: ICM-30630• Hierarchical Tri-Core Processing

ARM M0: Open Platform DMP4: Android L offload (Fusion, BAC,

Pedo) DMP3: FFT

• Low Power Processing (M0+DMP < M4)

• Available/Free resources – Open Sandbox Memory: ~32KB SRAM (incl FIFO) + ~32KB Flash

• Complete Wearable SW Features See Next Slide

ICM-30630

PPGPAH8001

SPI

DMP3Accel

FLASH / SRAM64K / 64K

DMP4

CortexM0

Gyro

Test Condition Current (uA)

Standby (No functionality) 52

SMD only1210

Pedometer only1215

Activity only1202

HRM (PPG Sensor not included) 605

MSP430

“Master” – Required to boot up 30630

“Slave” –Processes Wearable Sensor Features at Low Power

HRM

Host Side Driver

I2C

BaroBMP280

I2C

High-End Wearable Offering: Complete Wearable SW Stack

Smart Watch/Fitness TrackerCategory SW Feature/Support

Hardware Sensor

AccelerometerGyroPressure (BMP280)Mag (AKM09911)Proximity (CM36671)PPG (PAH8001/8002, ADPD174, PPS960)

Health/FitnessFeatures

Activity: Walk, Run, Bike, Still, TransportWalk/Run Step CounterWalk/Run Time AccrualStand/Sit Time AccrualHRM Motion Artifact CorrectionHeart Rate Variation (HRV)All Day Heart Rate TrackingSleep Analysis (manual entry)

Calorie CounterDistance (Based on Stride Length)

Floors Climbed (Floors climbed and decended)

Gestures Bring-To-See, Shake, Double-TapAndroid

SensorsAndroid FusionGravity, Linear Accel,Orientation (RV, GRV, GEOMAG)

PPG

GPS

MCU or AP(Display Driver/Graphics,

etc)

ICM-30631

Display

Touch

BLE

Pressure

• Sensor Framework• Steps, Activity, Stairs• HRM, HRV, Sleep• Sensor Fusion

ICM-3063x SW Features

Mag

Thank you!

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