Sensing, computing, and communications for energy harvesting IoTs: A survey
With the growing number of deployments of Internet of Things (IoT) infrastructure for a wide
variety of applications, the battery maintenance has become a major limitation for the …
variety of applications, the battery maintenance has become a major limitation for the …
Online fall detection using recurrent neural networks on smart wearable devices
Unintentional falls can cause severe injuries and even death, especially if no immediate
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …
Embedded real-time fall detection with deep learning on wearable devices
Unintentional falls are the leading cause of fatal injuries and nonfatal trauma among older
adults. An automated monitoring system that detects occurring falls and issues remote …
adults. An automated monitoring system that detects occurring falls and issues remote …
Home monitoring of motor fluctuations in Parkinson's disease patients
In Parkinson's disease, motor fluctuations (worsening of tremor, bradykinesia, freezing of
gait, postural instability) affect up to 70% of patients within 9 years of l L-dopa therapy …
gait, postural instability) affect up to 70% of patients within 9 years of l L-dopa therapy …
Embedding recurrent neural networks in wearable systems for real-time fall detection
Accidental falls are the preminent cause of fatal injuries and the most common cause of
nonfatal trauma-related hospital admissions among elderly adults. An automated monitoring …
nonfatal trauma-related hospital admissions among elderly adults. An automated monitoring …
Digital watermarking of ecg data for secure wireless commuication
S Kaur, R Singhal, O Farooq… - … conference on recent …, 2010 - ieeexplore.ieee.org
Use of wireless technology has made the bio-medical data vulnerable to attacks like
tampering, hacking etc. This paper proposes the use of digital watermarking to increase the …
tampering, hacking etc. This paper proposes the use of digital watermarking to increase the …
Low-power HWAccelerator for AI edge-computing in human activity recognition systems
In this paper, an energy efficient HW accelerator for AI edge-computing in Human Activity
Recognition is proposed. The system processes samples from a tri-axial accelerometer and …
Recognition is proposed. The system processes samples from a tri-axial accelerometer and …
Implementation of a binary neural network on a passive array of magnetic tunnel junctions
The increasing scale of neural networks and their growing application space have produced
demand for more energy-and memory-efficient artificial-intelligence-specific hardware …
demand for more energy-and memory-efficient artificial-intelligence-specific hardware …
Experimental demonstration of a robust training method for strongly defective neuromorphic hardware
The increasing scale of neural networks needed to support more complex applications has
led to an increasing requirement for area-and energy-efficient hardware. One route to …
led to an increasing requirement for area-and energy-efficient hardware. One route to …
Deep recurrent neural networks for edge monitoring of personal risk and warning situations
Accidental falls are the main cause of fatal and nonfatal injuries, which typically lead to
hospital admissions among elderly people. A wearable system capable of detecting …
hospital admissions among elderly people. A wearable system capable of detecting …