An view into how sensor fusion of wearables and IoT devices enable contextual computing.

1. IoT and Wearables make
Contextual Computing a Reality
Joseph Wei
josephwei@lab360sv.com

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Contextual computing, also called context-aware
computing, is the use of software and hardware to
automatically collect and analyze data about a
device's surroundings in order to present relevant,
actionable information to the end user or take
intelligent actions as pre-defined by the end user
and the real-time social, location and other pre-set
conditions

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Video by
The Connected Devices Laboratory at
Brigham Young University
https://www.youtube.com/watch?v=
NjYTzvAVozo

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80% of consumers said healthy living and medical care
access are important benefits of wearable technology
Source: PWC

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90% of consumers said its important for wearable
technology to help to keep their children safe
Source: PWC

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83% of consumers list simplification and improved ease of technology is a
key benefit
Source: PWC

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Hands-free productivity

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Pro-athletes performance and safety

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Image source: IBM. Data source: IDC

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Basic economics of lowering operating costs for
consumers, businesses and government agencies
Needs more efficient use of natural resources to avoid
shortage or depletion (e.g water shortage in CA) in
anticipation of global population (11 billion by 2050)
Needs to reduce environment issues that impact
health, natural resources, and business operations.
Broad coverage of wireless connectivity and choices
(satellite, 4G, WiFi, Bluetooth, Z-Wave, Zigbee, etc.)
Shrinking size and maturity of mobile, wireless and
sensors technologies
Sensors fusion, Big Data, Machine Learning, 3-D
printing, etc., help drive innovations going forward

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What to focus next?

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One thing we don’t have to worry about is running out
of Internet addresses. IPv6 protocol has the capacity
for 340 trillion trillion (3.4 x 1038) addresses; that’s 100
addresses for every atom on the face of the earth!
Additional efficiency and performance can be gained
via intelligent contextual computing amongst smart
devices (Sensor Fusion & )
Machine learning will continual to improve the
interactions between human and devices, and devices
to devices
Must make these connected devices SAFE & SECURE