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elijah-russell
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AllSee
First gesture system that runs without batteries• Leverages ambient TV and RFID signals
3 – 4 orders of magnitude less power
Integrated with mobile phones• Works through pockets
AllSee Hardware Architecture
RF Energy Harvester
Antenna
Digital Logic(MSP430)
WirelessReceiver
40 µW
AllSee Hardware Architecture
RF Energy Harvester
Antenna
Digital Logic(MSP430)
WirelessReceiver
40 µW
AllSee Hardware Architecture
RF Energy Harvester
Antenna
Digital Logic(MSP430)
40 µW
WirelessReceiver
AllSee Hardware Architecture
RF Energy Harvester
Antenna
Digital Logic(MSP430)
WirelessReceiver
40 µW
Challenge: Designing Low-Power Classifier
Our receiver only provides amplitude - Prior solutions use phase (Doppler, AoA)
Can’t run computationally intensive operations- No machine learning or even multiplication
AllSee Hardware Architecture
RF Energy Harvester
Antenna
Digital Logic(MSP430)
WirelessReceiver
40 µW
1 mW
Solution: Optimize AllSee’s Workflow
Sleep Sampling Detection
200 Hz
Classification
System power consumption: 30 µWResponse Time: 80 µs
Classification Accuracy
5 Participants8 Gestures20 RepetitionsTotal 800 Gestures
0.25% not detected94% correctly classified
Measured over 24 hours while 12 people share the workspace
False Positives
11.1 per hour
Start: 0.083 per hour