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Profiling, modeling, and predicting energy harvesting for self-powered body sensor platforms.

, , , and . BSN, page 402-407. IEEE, (2016)

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FPGA fingerprinting techniques for protecting intellectual property., , and . CICC, page 299-302. IEEE, (1998)Lighting IoT Test Environment (LITE) Platform: Evaluating Light-Powered, Energy HarvestingEmbedded Systems., , , , and . GIoTS, page 1-6. IEEE, (2018)Correlations between Inertial Body Sensor Measures and Clinical Measures in Multiple Sclerosis., , , and . BODYNETS, ICST, (2015)M2FED: Monitoring and Modeling Family Eating Dynamics: Poster Abstract., , , and . SenSys, page 352-353. ACM, (2016)Characterization of logical masking and error propagation in combinational circuits and effects on system vulnerability., and . DSN, page 323-334. IEEE Compute Society, (2011)Self-powered wearable sensor platforms for wellness., , , , , , , , and . CASES, page 187. IEEE, (2015)TEG Data Collection Platform for Wearable Applications., and . ENSsys@SenSys, page 54-55. ACM, (2019)Signature hiding techniques for FPGA intellectual property protection., , and . ICCAD, page 186-189. ACM / IEEE Computer Society, (1998)Extracting Spatio-Temporal Information from Inertial Body Sensor Networks for Gait Speed Estimation., , , and . BSN, page 71-76. IEEE, (2011)WiP Abstract: Enabling Holistic Design of Body Sensor Networks., , and . ICCPS, page 216. IEEE Computer Society, (2012)