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![Page 1: 1 Location and Activity Tracking with the Cloud Taj Morton, Alex Weeks, Samuel House, Patrick Chiang, and Chris Scaffidi School of Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022062421/56649f575503460f94c7cc25/html5/thumbnails/1.jpg)
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Location and Activity Tracking with the Cloud
Taj Morton, Alex Weeks, Samuel House, Patrick Chiang, and Chris ScaffidiSchool of Electrical Engineering and Computer Science
Oregon State University
![Page 2: 1 Location and Activity Tracking with the Cloud Taj Morton, Alex Weeks, Samuel House, Patrick Chiang, and Chris Scaffidi School of Electrical Engineering.](https://reader036.fdocuments.us/reader036/viewer/2022062421/56649f575503460f94c7cc25/html5/thumbnails/2.jpg)
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Aging in placeAging in place
• Do the math– Nursing home
~ $250/day per person
– Assisted living communities ~ $115/day
– In-home health aides ~ $20/day
• Objective: help people live at home as long as possible– Summon health aides when needed
Introduction Contribution Discussion
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But how can we But how can we detect when home aides are needed?detect when home aides are needed?
• Much work exists on monitoring health with sensors– E.g., monitoring gait to detect…
• Decline in cognitive ability
• Decline in proprioception
• Increase in risk of falls
• Decrease in general fitness level
• Decrease in cardiovascular health
• Increase in risk of depression
(… as well as monitoring with other sensors)
Introduction Contribution Discussion
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Prior work: High-accuracy gait Prior work: High-accuracy gait monitoring with IMU+RFIDmonitoring with IMU+RFID
• Attach inertial monitoring unit (IMU) to shoe
• IMU monitors gait using accelerometer– Obtains fiducial updates from
nearby RFIDs (e.g., RFIDs placed on doorways)
• Excellent capabilities– Accuracy of 47 cm
– Cost of $100
– Size of 4cm
Introduction Contribution Discussion
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Advantages of IMU+RFID sensor over Advantages of IMU+RFID sensor over existing technologyexisting technology
GPS RSSI UWB RFID IMU IMU+RFID
LIMITATION Not indoors
Too coarse
Limited range
Too coarse
Drifts with time
Accuracy > Room Room 0.1m > Room > Room 0.1m
Cost/building Low $0-100 > $1k $40 $0 $50
Size 1cm 1cm 3cm 3cm 3cm 1cm
Commercial products
Google Ekauhau Ubisense Near-Field
None None
Introduction Contribution Discussion
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Challenge and approachChallenge and approach
• Needed: a means for the IMU+RFID sensor to send data out of the home– Other gait sensing technologies also require a similar
means of transmitting data to facilitate remote monitoring
• Approach: – Transmit data from sensor to a cell phone via bluetooth
– Transmit data from cell phone to cloud via wireless
Introduction Contribution Discussion
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Overall system architectureOverall system architecture
Introduction Contribution Discussion
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Cloud-based servers
Software architectureSoftware architecture
Data upload client (cell
phone app)
Data processor
(stores data)
Location analysis (and gait if needed)
Data storage and access
objects
Visualizer service
Data sharing service
Amazon SimpleDB
Web browser
Other applications
Introduction Contribution Discussion
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Visualization currently supportedVisualization currently supported
Introduction Contribution Discussion
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Low-latency (< 2 seconds) Low-latency (< 2 seconds) up to ~ 2.1k data samples per secondup to ~ 2.1k data samples per second
• ~ 300 samples per second (gyro+accel, total) for high-resolution tracking
• Lower-resolution tracking requires lower sampling rates
Introduction Contribution Discussion
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Key design advantagesKey design advantages
• Cell phone app as well as most of our software components on the cloud are “sensor-agnostic”– Can forward and store any data that we send to it
• Modular design to facilitate adding new analyses– In contrast to existing systems on the cloud that can only
store data for you (so you need to compute elsewhere)
• Full parallelization among users– Number of users is directly proportional to the number of
servers allocated (linear scalability)
Introduction Contribution Discussion
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Future directionsFuture directions
• The sensor– Improved accuracy (using an environment model)
– Reduced power consumption and size (integrated circuit)
– Integrate with other wearable sensors
• The cloud– Improve scalability by further optimizing algorithms
– Provide additional analyses and visualizations
– Integrate protection for security and privacy
• Applications– Test reliability with long-term field study
– Use system as a tool for health monitoring studies
Introduction Contribution Discussion
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Thank you…Thank you…
• To EMBC for this opportunity• To you for your interest
Questions?
Introduction Contribution Discussion