A versatile microwave plethysmograph for the monitoring of physiological parameters

Gentili, G. Biffi; Tesi, V.; Linari, Marco; Marsili, M

doi:10.1109/tbme.2002.803588

Cited by 35 publications

(15 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this case, the descriptors of the images were computed using HOG with the parameters, i.e., number of cells per block, number of pixels per cell, number of bins etc., that the paper [8] mentioned were the best for pedestrian detection. From this experimentation we found that the linear SVM was the one that resulted in the lowest error rate in human activity recognition.…”

Section: Resultsmentioning

confidence: 97%

“…Each descriptor with its corresponding label represented a learning instance. For obtaining the descriptor, we implemented in Open CV-C++ the HOG [8] and the PHOG [9]. The design parameters that were taken in HOG were the number of bins that the histogram has, the number of pixels per cell, and the number of cells per block.…”

Section: Offline Training Methodologymentioning

confidence: 99%

“…These descriptors were computed utilizing two distinct methods, HOG (Histogram of Oriented Gradients) and PHOG (Pyramidal Histogram of Oriented Gradients). We worked with these descriptors because we wanted to explore whether we could characterize human activity with low cost recognition methods, in this case by simply considering local appearance and shapes that exist in an image and that are described by the distribution of intensity gradients or edge directions [8]. We also carried out quantitative recognition comparisons between these descriptors and classifiers.…”

Section: Offline Training Of the Human Recognition Modulementioning

confidence: 99%

See 2 more Smart Citations

A Low Cost Outdoor Service Robot

Chávez

Savage

2017

Adv Robot Autom

View full text Add to dashboard Cite

Most service robots are simple and domestic, functioning only within Wi-Fi enabled homes. Service robots that do function outdoors are usually expensive and consequently foreign to the general public. To provide service robots to everyone, everywhere, we present Nokovic, a low cost service robot built with recycled parts based on FPGA and radio frequency control that recognizes outdoor and indoor human activity to engage with humans in any environment. By building off recycled pieces, Nokovic reduces the costs to construct the recycled robot. Nokovic also implements a novel low cost human activity recognition system that further helps to reduce the resources needed for the service robot to function anywhere. We establish our human activity recognition system by using a histogram of oriented gradients to create two shape based object classes: bikers and walkers, which our system distinguishes from. We study how our human activity recognition method compares with traditional activity recognition classifiers. Based on our design and study, we reflect on the future of low cost service robots for outdoor and indoor activities. A Low Cost Outdoor Service Robot

show abstract

Section: Resultsmentioning

confidence: 97%

Section: Offline Training Methodologymentioning

confidence: 99%

Section: Offline Training Of the Human Recognition Modulementioning

confidence: 99%

See 1 more Smart Citation

A Low Cost Outdoor Service Robot

Chávez

Savage

2017

Adv Robot Autom

View full text Add to dashboard Cite

show abstract

“…The biofeedback has been used in the rehabilitation field, mainly in patients with hemiparetic condition due to a stroke or in spinal cord injury [3,4] others apply biofeedback to train elderly people and prevent falls [5].…”

Section: Introductionmentioning

confidence: 99%

Biofeedback system for transfemoral amputees rehabilitation

Quiñones¹,

Vela²,

Perez³

et al. 2009

2009 Pan American Health Care Exchanges

View full text Add to dashboard Cite

A proved way to improve the quality of the rehabilitation treatment and to reduce the time spent for recovery is the use of the biofeedback theory. In the present project it was designed a biofeedback system, implemented in Visual C++ 6.0®, to improve the adult transfemoral amputee gait. For these purpose, we took kinetic, and kinematic data from transfemoral amputees, that was digital processed involving interpolation, filtering and decimation, and then compared with healthy gait data to determine the difference between data measured by the system and the movement desired, that difference was presented as a feedback stimulus for the movement of the joints of the legs during gait on a treadmill. The biofeedback stimulus were displayed in "real time" and give the signal to favor a normal gait pattern, following the biofeedback system is possible to train a new functional gait, fist during the therapy and later in the everyday living.

show abstract

“…It is well known from communication theory that using coded waveforms along with coherent demodulation leads to the highest power efficiency [3]. The implant uses a crystal controlled local oscillator, combined with a digital delay locked loop (DDLL) to maintain continuous timing accuracy relative to the MCU.…”

Section: Present Statusmentioning

confidence: 99%

Stimulating and Sensing Network Inside the Human Body

Schulman

International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)

View full text Add to dashboard Cite

The Alfred Mann Foundation is developing a network of up to 850 injectable devices that have stimulating, sensing and communication capabilities.Each of the devices is coordinated via radio signals a hundred times a second by an external small module. All the devices are powered by lithium-ion rechargeable batteries. The stimulating, sensing, and communication circuits are designed to be highly power efficient to maximize battery life.The stimulator can be programmed to deliver pulses in the range: 5 μA to 20 mA, 7 μs to 2000 μs, and frequencies up to 4000 Hz. Bursting, ramping, and other stimulation features are included. The voltage sensor covers the range 10 μV to 1.0 V with bandpass filtering and data analysis. The implant also contains sensors for pressure, temperature, DC magnetic field, and distances between implants.

show abstract

A versatile microwave plethysmograph for the monitoring of physiological parameters

Cited by 35 publications

References 14 publications

A Low Cost Outdoor Service Robot

A Low Cost Outdoor Service Robot

Biofeedback system for transfemoral amputees rehabilitation

Stimulating and Sensing Network Inside the Human Body

Contact Info

Product

Resources

About