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Smart Homes Research
Smart Home Cyber Security
With more and more of our home devices now connected to the internet, our faculty researchers at MSU are working to ensure that our home networked devices are safe and secure from outside attacks.
- SecWIR: securing smart home IoT communications via wi-fi routers with embedded intelligence
- Access control with delegation for smart home applications
- Secure wireless monitoring and control systems for smart grid and smart home
- RELAX: a language to address uncertainty in self-adaptive systems requirement
- A Lightweight Block Validation Method for Resource-Constrained IoT Devices in Blockchain-Based Applications
- CapChain: A Privacy Preserving Access Control Framework Based on Blockchain for Pervasive Environments
Indoor Air Quality
Poor indoor air quality can have a number of negative health consequences if left undiscovered. Researchers at MSU are working to enhance the capabilities for consumers to monitor the air quality within their homes using connected air quality sensors.
Smart Homes allow consumers to create a tailored ecosystem designed around their comfort and convenience. Ongoing advances at MSU help consumers customize their in-home experience for a truly unique living space.
- An assessment of opinions and perceptions of smart thermostats using aspect-based sentiment analysis of online reviews.
- Occupant-Dependent Residential End Use Load Profiles for Demand Response Under High Renewable Energy Scenarios
- Safe Energy Savings Through Context-Aware Hot Water Demand Prediction
- Real-time Deep Neural Networks for internet-enabled arc-fault detection
- Activity Profiles of Occupants in Residential Buildings Using the American Time Use Survey Data
- Effective Features to Predict Residential Energy Consumption Using Machine Learning
MSU faculty are working to develop technologies that help consumer’s Smart Homes automatically detect their presence for added comfort, automation and personalization.
- BodyScan: Enabling radio-based sensing on wearable devices for contactless activity and vital sign monitoring
- Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
- Exploring user needs for a mobile behavioral-sensing technology for depression management: Qualitative study
- DoppleSleep: A contactless unobtrusive sleep sensing system using short-range doppler radar
- MyBehavior: Automatic Personalized Health Feedback from User Behaviors and Preferences using Smartphones
- BodyBeat: A mobile system for sensing non-speech body sounds
- Robust and High-Performance Electrodes via Crumpled Au-CNT Forests for Stretchable Supercapacitors
- Flexible and biocompatible polypropylene ferroelectret nanogenerator (FENG): On the path toward wearable devices powered by human motion
- ISelf: Towards cold-start emotion labeling using transfer learning with smartphones
- Acousticcardiogram: Monitoring Heartbeats using Acoustic Signals on Smart Devices
Occupant Detection & Indoor Mapping
Technologies developed by MSU Faculty help Smart Homes map the interior of a space allowing systems to be custom tailored and safer.
- Self-improving indoor localization by profiling outdoor movement on smartphones
- iFrame: Dynamic indoor map construction through automatic mobile sensing
- Cooperation among smartphones to improve indoor position information
- EyeLoc: Smartphone Vision Enabled Plug-n-play Indoor Localization in Large Shopping Malls
- Typical occupancy profiles and-behaviors in residential buildings in the United States
- NestDNN: Resource-aware multi-tenant on-device deep learning for continuous mobile vision
- Interaction effects of building technology and resident behavior on energy consumption in residential buildings
Smart Device Integration and Communication
Faculty at MSU are working towards solutions to improve integration for IoT devices to allow for seamless communication between devices across home networks.
- Exploiting Concurrency for Opportunistic Forwarding in Duty-Cycled IoT Networks
- Coexistence of Wi-Fi and IoT Communications in WLANs
- EE-IoT: An Energy-Efficient IoT Communication Scheme for WLANs
- Uplink MU-MIMO in asynchronous wireless LANs
- TCCI: Taming co-channel interference for wireless lans
- Enabling jamming-resistant communications in wireless MIMO networks
- Wireless systems and networks in the IoT
- Duplicate Detectable Opportunistic Forwarding in Duty-Cycled Wireless Sensor Networks
- TAS-MAC: A traffic-adaptive synchronous MAC protocol for wireless sensor networks
- RainbowRow: Fast Optical Camera Communication
- Multi-Objective Approach to Improve Load Balance and Blockage in Millimeter Wave Cellular Networks