"aging independently using machine learning, advanced sensors and algorithms" - kevin shaw...

Intuition for Sensors

Aging Independently Using Machine Learning, Advanced Sensors and Algorithms


Kevin A. Shaw, Ph.D. CTO / Co-founder

© 2016 Algorithmic Intuition

The Aging Population

• 900M people are age 65+ worldwide today

• In the US, each day 11,000 people reach age 65

• People are living longer and families are smaller.

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The Aging Population

• The ratio of aging adult to those working and those providing care is increasing

• How to provide care with fewer caregivers?

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Caring for the Elderly:

• Home with Family support• Cheapest solution; ability to stay home

• Tough on family caregiver; constant worry

• Homecare, Professionally• Tremendously valuable, with moderate expense

• Partial coverage through the week: 2+ visits / week

• Residential care • Very expensive

• Reduced life span loss of control and dignity

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The Challenge: Caring for the Elderly

• Pain & stiffness from arthritis

• Reduced mobility

• Reduced hearing

• Confusion due to dementia

• Vision loss

• Cognitive impairments & forgetfulness

• Increased risk of falls

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Healthcare Paradigm

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Stay at Home

Wait until sick

See Doctor

Take pills

Wait for

next


Wellness as a Service: Three Pillars

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Technology Interface

•Invisible•Simple•Omnipresent

DecentralizedDecisions

•Consumerempowerment

•Early decisions

Wellness Mindset

• Early treatment

• Prevention• Prediction


Caregivers and Home Care Providers

• Home care• Family Caregivers

• Agency Caregivers

• Benefits• Caring; supportive

• Detriments• Couple visits/week

• Care fatigue for family

• Can be costly9


Wellness as a Metric

• Need for high-level metrics for Wellness• Vitals

• Accidents • falling or injury

• Activities of Daily Living• Dressing, Walking

• Eating, Hygiene, Toiletting

• Advanced ADLs• Socializing; exercise; etc

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Tech Solutions for Aging at Home

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Sensing Solutions: Camera / Audio

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Sensing Landscape

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Sensing solutions: on-body

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www.getlief.com

www.mc10inc.com

www.unaliwear.com/

Homecaremag.com


Personal Monitoring for Seniors

• On-body Monitoring• Vital Signs:

• Heart Rate, Respiration Rate, Body Temp

• Activities of Daily Living (ADLs)• Dressing, Eating, Walking, Toileting, Hygiene

• Falling

• Location

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Machine Learning / Deep Neural Networks

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Biological Deep Neural Net Artificial Deep Neural Net


ML Example: Identify ADLs

• Multi-sensor data streams

• Machine Learning / Deep Neural Network

• Identifying Activities from live streams

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Algorithmic Intuition

• Ai2 Active Living Platform© • Software Platform

• Measures: Vitals, ADLs, Falling

• On-body sensor computation for long-battery life

• Hardware Platform reference design• Sensors, MCU, BLE and PMIC

• Retail solutions available in 2017• For Home Care Providers and Family Caregivers

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Aging Adults Living at Home Longer

• Demographic shifts need new solutions

• Wellness metrics are critical

• Sensing and Machine Learningprovide high levelunderstanding of wellness

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Aging Independently Using Machine Learning, Advanced Sensors and Algorithms


Kevin A. Shaw, Ph.D. CTO / Co-founder