DeepAI AI Chat
Log In Sign Up

Providing Confidential Cloud-based Fall Detection from Remote Sensor Data Using Multi-Party Computation

04/22/2019
by   Pradip Mainali, et al.
OneSpan
0

Fall detection systems are concerned with rapidly detecting the occurrence of falls from elderly and disabled users using data from a body-worn inertial measurement unit (IMU), which is typically used in conjunction with machine learning-based classification. Such systems, however, necessitate the collection of high-resolution measurements that can violate users' privacy, such as revealing their gait, activities of daily living (ADLs), and relative position using dead reckoning. In this paper, for the first time, we present the design, implementation and evaluation of applying multi-party computation (MPC) to IMU-based fall detection for assuring the confidentiality of device measurements. The system is evaluated in a cloud-based setting that precludes parties from learning the underlying data using three parties deployed in geographically disparate locations in three cloud configurations. Using a publicly-available dataset comprising fall data from real-world users, we explore the applicability of derivative-based features to mitigate the complexity of MPC-based operations in a state-of-the-art fall detection system. We demonstrate that MPC-based fall detection from IMU measurements is both feasible and practical, executing in 365.2 milliseconds, which falls well below the required time window for on-device data acquisition (750ms).

READ FULL TEXT
11/27/2019

An Efficient Machine Learning-based Elderly Fall Detection Algorithm

Falling is a commonly occurring mishap with elderly people, which may ca...
04/23/2020

Performance Evaluation of Secure Multi-party Computation on Heterogeneous Nodes

Secure multi-party computation (MPC) is a broad cryptographic concept th...
09/02/2021

CrypTen: Secure Multi-Party Computation Meets Machine Learning

Secure multi-party computation (MPC) allows parties to perform computati...
07/05/2019

A Mobile Cloud Collaboration Fall Detection System Based on Ensemble Learning

Falls are one of the important causes of accidental or unintentional inj...
04/17/2020

Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging

Automatic fall detection is a vital technology for ensuring health and s...
03/05/2020

mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder

Elderly fall prevention and detection is extremely crucial especially wi...