Dataset Information

Sound of Daily Living Identification Based on Hierarchical Situation Audition.

ABSTRACT: One of the key objectives in developing IoT applications is to automatically detect and identify human activities of daily living (ADLs). Mobile phone users are becoming more accepting of sharing data captured by various built-in sensors. Sounds detected by smartphones are processed in this work. We present a hierarchical identification system to recognize ADLs by detecting and identifying certain sounds taking place in a complex audio situation (AS). Three major categories of sound are discriminated in terms of signal duration. These are persistent background noise (PBN), non-impulsive long sounds (NILS), and impulsive sound (IS). We first analyze audio signals in a situation-aware manner and then map the sounds of daily living (SDLs) to ADLs. A new hierarchical audible event (AE) recognition approach is proposed that classifies atomic audible actions (AAs), then computes pre-classified portions of atomic AAs energy in one AE session, and finally marks the maximum-likelihood ADL label as the outcome. Our experiments demonstrate that the proposed hierarchical methodology is effective in recognizing SDLs and, thus, also in detecting ADLs with a remarkable performance for other known baseline systems.

SUBMITTER: Wu J

PROVIDER: S-EPMC10098573 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Sound of Daily Living Identification Based on Hierarchical Situation Audition.

Wu Jiaxuan J Feng Yunfei Y Chang Carl K CK

Sensors (Basel, Switzerland) 20230404 7

One of the key objectives in developing IoT applications is to automatically detect and identify human activities of daily living (ADLs). Mobile phone users are becoming more accepting of sharing data captured by various built-in sensors. Sounds detected by smartphones are processed in this work. We present a hierarchical identification system to recognize ADLs by detecting and identifying certain sounds taking place in a complex audio situation (<i>AS</i>). Three major categories of sound are d ...[more]

PMID: 37050786

Similar Datasets

Project description:BackgroundConflicts at work are inevitable and can negatively affect an individual's mental health. This research was based on the theoretical sources of conflict at work, explored nurses' work situation conflict as well as their types, along with their causes and consequences.MethodsThis study used participatory observation and interview methods to study nurses. Participatory observations of nurses' work were conducted in hospitals, and interviews were conducted with nurses. Data were collected through participatory observation and interviews, and data were analyzed through grounded theory.ResultsNurses' work situation conflicts included five levels of specific situational conflict types-interpersonal, social, unit, family, and task-as well as 12 conflict manifestations. Specifically, these types and manifestations include (1) interpersonal conflict, including conflicts with leaders, colleagues, and clients; (2) professional status conflict, including conflicts with professional recognition and professional respect; (3) conflict of interest, including conflicts with income, professional development, ideas and systems; (4) family role conflict, including family incident versus work conflicts; and (5) self-task conflict, including work requirement, work task, and work intensity conflicts. At the same time, it was found that the conflicts between different systems could be transformed into each other under certain conditions, and work situation conflict would affect the work efficiency, sense of value, professional enthusiasm, professional expectations, professional detachment, professional interest, and physical and mental exhaustion of nurses.ConclusionThis study found a hierarchical level model of nurses' work situation conflict. And this study has brought new insight to the management of conflicts in the current nurses' working situation and to creating a healthy, harmonious and efficient nursing working situation. It provides a new perspective for nurses' occupational safety and mental health intervention.

Project description:BackgroundThe global burden of disability continues to increase. Understanding the hierarchical structure of activities of daily living (ADL) and the trajectories of disability of elderly individuals is pivotal to developing early interventions.PurposeTo determine the hierarchical structure of the ability of Chinese elderly individuals to perform ADL and further describe the trajectories of disability prior to death.MethodsLongitudinal item response theory model (LIRT) was constructed for 28,345 elderly participants in the Chinese Longitudinal Healthy Longevity Survey, in which ADL were measured using the Katz scale from 1998 to 2018, until the participants' death. Two difficulty parameters (κ-partial and κ-total) were used in the LIRT defining the thresholds for hierarchical structure in ADL (κ-partial: no limitation to partial limitation, κ-total: partial limitation to totally limited). Disability values estimated from the LIRT were fitted to a mixed-effects model to examine the manner in which the trajectories of disability varied with different subject characteristics.ResultsThe findings confirmed the earliest loss in the capability to perform ADL (bathing(κ-partial = - 1.396), toileting(κ-partial = - 0.904)) at the level of partial limitation, with an overlap of partial and totally limited (total bathing, partial dressing, partial transferring, total dressing, partial feeding, partial continence), and finally a total loss of capability for toileting, feeding, transferring, and continence (κ-total = 3.647). Disability trajectories varied with sex (β = 0.041, SE = 0.001), place of residence (β = 0.010, SE = 0.001), and marital status (β = 0.144, SE = 0.001). Females, individuals living in urban areas, and those who lived without a spouse had a poorer disability status.ConclusionThe loss in the ability to perform ADL has a hierarchical structure. Subject characteristics affect trajectories of disability in the elderly Chinese population.

Project description:With regard to hearing perception, it remains unclear as to whether, or the extent to which, different conceptual categories of real-world sounds and related categorical knowledge are differentially represented in the brain. Semantic knowledge representations are reported to include the major divisions of living versus non-living things, plus more specific categories including animals, tools, biological motion, faces, and places-categories typically defined by their characteristic visual features. Here, we used functional magnetic resonance imaging (fMRI) to identify brain regions showing preferential activity to four categories of action sounds, which included non-vocal human and animal actions (living), plus mechanical and environmental sound-producing actions (non-living). The results showed a striking antero-posterior division in cortical representations for sounds produced by living versus non-living sources. Additionally, there were several significant differences by category, depending on whether the task was category-specific (e.g. human or not) versus non-specific (detect end-of-sound). In general, (1) human-produced sounds yielded robust activation in the bilateral posterior superior temporal sulci independent of task. Task demands modulated activation of left lateralized fronto-parietal regions, bilateral insular cortices, and sub-cortical regions previously implicated in observation-execution matching, consistent with "embodied" and mirror-neuron network representations subserving recognition. (2) Animal action sounds preferentially activated the bilateral posterior insulae. (3) Mechanical sounds activated the anterior superior temporal gyri and parahippocampal cortices. (4) Environmental sounds preferentially activated dorsal occipital and medial parietal cortices. Overall, this multi-level dissociation of networks for preferentially representing distinct sound-source categories provides novel support for grounded cognition models that may underlie organizational principles for hearing perception.

Dataset Information

Sound of Daily Living Identification Based on Hierarchical Situation Audition.

Publications

Sound of Daily Living Identification Based on Hierarchical Situation Audition.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets