Search for tag: "signals"

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03:32 StressDeep: Stress Detection Using Wearable… StressDeep: Stress Detection Using Wearable Medical Sensors and Efficient Neural Networks, Anu Vellore, UG '22 (2250003)	StressDeep: Stress Detection Using Wearable Medical Sensors and Efficient Neural Networks, Anu Vellore, UG '22 (2250003) Chronic stress poses serious harm to both physical and mental health. It is a risk factor for hypertension and coronary artery disease, as well as other health problems including gastroesophageal… deep neural network wearable medical sensors synthetic data generation gaussian mixture model kernel density estimation electrocardiogram galvanic skin response respiration rate blood pressure blood oximeter prd21 stress dataset sensors accuracy wmss generation signals performance network instances pre tool training model framework machine blood advancements department From Research Princeton Research Day 4 likes 71 plays Speaker Anu Vellore, UG '22 Department Operations Research and Financial Engineering
05:06 Decoding Brain Signals into Speech - Steps… Decoding Brain Signals into Speech - Steps Towards Universal Brain-Machine Interfaces	Decoding Brain Signals into Speech - Steps Towards Universal Brain-Machine Interfaces Brain-computer interfaces are one of humanity's most ambitious goals. This technology promises to augment our cognitive and physical abilities by allowing us to control devices and communicate… prd20 speech brain model signals prediction electrodes models computer patient learning thesis correlations wavelet correlation error history electrode future synthesis decoding From Research Princeton Research Day 1 likes 127 plays Date April 29th, 2020 Speaker Theodor Marcu '20 Department Computer Science
37:19 Smart Cities May 2019: Smart Sensing Technologies… Smart Cities May 2019: Smart Sensing Technologies for Urban Centers	Smart Cities May 2019: Smart Sensing Technologies for Urban Centers This is the fourth video segment from a conference at Princeton University on academic “Smart Cities” research and its potential relevance to New Jersey’s urban centers. In this… princeton university smart cities corporate engagement captions_8_6_2020 sensors light environment energy power window lot air sensor fact space systems degrees signals structure sense algorithms building windows buildings From Danielia DeLorenzo 0 likes 30 plays Date May 6th, 2019 Speaker Claire Gmachi, Princeton University, Eugene Higgins Professor of Electrical Engineering; Lynn Loo, Princeton University, Professor of Chemical and Biological Engineering, Andlinger Center for Energy and the Environment; Athina Petropulu, Rutgers University, Distinguished Professor, Electrical and Computer Engineering; Naveen Verma, Princeton University, Professor of Electrical Engineering; Vivek Singh, Rutgers University, Assistant Professor School of Communication and Information; Forrest Meggers, Princeton University, Assistant Professor of Architecture and Andingler Center for Energy and the Environment Department Office of Corporate Engagement and Foundation Relations Location Princeton University
01:35:24 (2) Collective Behavior, Social Media, and… (2) Collective Behavior, Social Media, and Systemic Risk - Day 1	(2) Collective Behavior, Social Media, and Systemic Risk - Day 1 (2) Collective Behavior, Social Media, and Systemic Risk - Day 1 Princeton University August 17, 2018 collective behavior social media and systemic risk captions_12_07_2020 individuals females groups lot behavior males signal signals things animal communication network consensus media model question calls decision animals thing From Broadcast Broadcast Center Staff 0 likes 8 plays
01:10:18 Consciousness and the Social Brain Consciousness and the Social Brain	Consciousness and the Social Brain Professor Michael Graziano Princeton University archived_to_s3 attention brain awareness model side theory thing question person stimulus consciousness experiment signal areas bit dot control signals region object From cscimeca@pppl.gov 0 likes 3 plays