Fourniol et al., 2018 - Google Patents
Low-power wake-up system based on frequency analysis for environmental internet of thingsFourniol et al., 2018
View PDF- Document ID
- 5899993330394231979
- Author
- Fourniol M
- Gies V
- Barchasz V
- Kussener E
- Barthelemy H
- Vauché R
- Glotin H
- Publication year
- Publication venue
- 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)
External Links
Snippet
Being used in for environmental and military Internet of Things (IoT), a low power wake-up system based on frequency analysis is presented in this paper. It aims at detecting continuously the presence of specific very high frequencies in the input acoustic signal of an …
- 238000004458 analytical method 0 title abstract description 13
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Fourniol et al. | Low-power wake-up system based on frequency analysis for environmental internet of things | |
| CN111510825B (en) | Duty cycle microphone/transducer for acoustic analysis | |
| CN104867495B (en) | Sound recognition apparatus and method of operating the same | |
| US9678192B2 (en) | Signal processing for a capacitive sensor system with robustness to noise | |
| Giraldo et al. | 18μW SoC for near-microphone keyword spotting and speaker verification | |
| US10867611B2 (en) | User programmable voice command recognition based on sparse features | |
| US12014732B2 (en) | Energy efficient custom deep learning circuits for always-on embedded applications | |
| US9349386B2 (en) | System and method for processor wake-up based on sensor data | |
| US9785706B2 (en) | Acoustic sound signature detection based on sparse features | |
| US9177546B2 (en) | Cloud based adaptive learning for distributed sensors | |
| Fourniol et al. | Analog ultra Low-Power acoustic Wake-Up system based on frequency detection | |
| US9460720B2 (en) | Powering-up AFE and microcontroller after comparing analog and truncated sounds | |
| US20150066495A1 (en) | Robust Feature Extraction Using Differential Zero-Crossing Countes | |
| US20190098417A1 (en) | A piezoelectric mems device for producing a signal indicative of detection of an acoustic stimulus | |
| US20180288542A1 (en) | Methods and apparatus for recording impulsive sounds | |
| US9478231B1 (en) | Microphone interface and IP core for always-on system | |
| US9749528B1 (en) | Multi-stage wakeup battery-powered IP camera | |
| KR20170099858A (en) | Low-power context-aware control for analog frontend | |
| TW201618490A (en) | Low power acoustic apparatus and method of operation | |
| Mayer et al. | A2Event: A micro-watt programmable frequency-time detector for always-on energy-neutral sensing | |
| Fourniol et al. | Applications of an ultra low-power analog wake-up detector for environmental iot networks and military smart dust | |
| Bunaiyan et al. | Real-time analog event-detection for event-based synchronous sampling of sparse sensor signals | |
| CN111246161B (en) | Reducing false alarms in a surveillance system | |
| US12422540B2 (en) | Radar device and method | |
| US20140354430A1 (en) | Energy harvesting, ambient light fluctuation sensing intrusion detector |