We are observing a monumental effort from the industry and academia to make everything connected. Naturally, to understand the needs of these connected things, we need a better understanding of humans and where, when, and how they interact. Then we can create digital services and capabilities that fundamentally change the way we experience our lives. Right now IoT is all about connectivity, and scale. Next generation IoT will be about learning and contextual automation. Designing intention- and behavior-aware services will be the principal source of differentiation, and competitive advantage for the industry players.
To this end, in this talk I explore how wearable devices and Wi-Fi network can be used as a sensing platform to understand you and the world around you and to design future consumer facing connected services.
24. Wi-Fi is the most Pervasive Sensor Network. Its available literally everywhere.
25. People
á
n
Places
7
Activity
Location
Location Co-Location Face to Face Interaction
Trajectory Physical Activity
Location Trajectory + Co-Location Personality and Mood Happiness
Location Co-Location Space Management and Recommendation
Location Trajectory State of Use
Location is the key, and behaviour models can extract higher order contexts
26. ôMobile Object Tags
Static Object Tags
Home Node
- Proximity Ranging Service
- Data Storage Service
EF5
Personal Object AnalyticsQuery Server
Anchor Points Query Service
Index Service
Location Trajectory State of Use A Real World Search Engine for IoT
27. Self Quantification of Social InteractionLocation Co-Location Face to Face Interaction
Radio
Signal
Capturing
Copresence
Detection
Interaction
Inference
28. Timeline of Face to Face InteractionsLocation Co-Location Face to Face Interaction
29. Happiness Map of the SpaceLocation Trajectory + Co-Location Personality and Mood Happiness
30. • Personal Interaction Reflection
• Personal Time and Activity Management
For Employees
• Discover Emerging Leaders
• Build High Performance Team
For Employers
• Predictive Maintenance & Management
• Personalised Space Recommendation
For Building Managers
Quantified Enterprise
31. Capturing Personal and Crowd Behaviour with Wi-Fi Analytics
•
• Profiling Spatio-Temporal Behaviour of Individual and Groups
• Extracting Communities and their Properties
• Spatio-Temporal Heat Map of the Venue
• Informed Space Management
• Recommend Contacts Opportunistically
• Personalised Space Recommendation Opportunistically
35. DeepX: A Software Accelerator for Embedded Deep Learning
Redefine mobile and IoT application experience by running the deep-learning models energy
efficiently and locally on resource-constrained devices to reduce the sensor inference gap.
Online
Compression
Model Fusion
Optimal
Resource
Allocation
10x improvement in sensory inference quality and 10x reduction of runtime energy and memory
36. DeepX enables future mobile, wearable and IoT devices to make incredible leaps in understanding you