The proposed framework first analyzes the environmental sounds by suppressing the silence zones in signals and distinguishing overlapping sound signals through ...
May 15, 2019 · The proposed framework first analyzes the environmental sounds by suppressing the silence zones in signals and distinguishing overlapping sound ...
In this paper, we propose a framework that detects falls by using acoustic Local Ternary Patterns (acoustic-LTPs) by analyzing environmental sounds.
May 15, 2019 · A framework for fall detection of elderly people by analyzing environmental · sounds through acoustic local ternary patterns. Conference Paper ...
A framework for fall detection of elderly people by analyzing ...
dl.acm.org › abs › SMC.2017.8122836
Oct 5, 2017 · The proposed framework first analyzes the environmental sounds by suppressing the silence zones in signals and distinguishing overlapping sound ...
In this paper, we propose a framework that detects falls by using acoustic Local Ternary Patterns (acoustic-LTPs) by analyzing environmental sounds.
Jan 5, 2021 · We present a novel unsupervised fall detection system that employs the collected acoustic signals (footstep sound signals) from an elderly ...
In this paper, we propose a framework that detects falls by using acoustic Local Ternary Patterns (acoustic-LTPs) by analyzing environmental sounds.
In this paper, we present a fall detection framework by proposing a novel feature space mean absolute deviated-local ternary patterns (MAD-LTP) to examine the ...
... framework for fall detection of elderly people by analyzing environmental sounds through acoustic local ternary patterns. In: 2017 IEEE International�...