## 1 Introduction  
According to reports from the World Health Organization, approximately 55 million people worldwide live with some form of dementia, and this number keeps growing, with approximately 10 million cases every year [1]. Early diagnosis of dementia is currently challenging, especially in case of mild cognitive impairment (MCI). MCI is an early stage of memory loss or other cognitive ability loss in individuals who maintain the ability to independently perform most activities of day-to-day life. Detecting this stage of cognitive impairment would allow the actualization of early interventions and rehabilitation of cognitive function. Unfortunately, diagnosis of MCI requires a variety of assessments, such as electroencephalograph, neuroimaging, Pittsburgh bound positron emission tomography, etc. [2, 3, 4], which are often inaccessible due to their complexity and price.  
Furthermore, a recent study has shown that a high percentage of elderly individuals with cognitive impairment consistent with dementia do not have reports of dementia-related diagnoses [5]. This means that a high number of elderly never seek professional help or receive a diagnosis, perpetuating the need for more easily accessible diagnostic tools.  
To overcome the above-mentioned issues, motor and sensory functions have been examined because the sensory and motor regions of the central nervous system (CNS), such as auditory and vestibular systems, are affected by Alzheimer's dementia (AD) pathology [6]. [PERSON] [7] and [PERSON] [8] reported people with dementia having hearing and vision impairments, while [PERSON] [9] and [PERSON] [10] discovered that people with both sensory impairments had a higher incidence of dementia than those with only one sensory impairment. Additionally, people with MCI and dementia were confirmed to have low gait ability [11; 12; 13]. It was shown that for cognitively healthy elderly people with sensory or motor impairments at baseline, the cognitive function tends to deteriorate later in life, in contrast with the ones with no impairments at baseline. In other words, these findings suggest the possibility of detecting early cognitive impairment or predicting cases that can progress to cognitive impairment, through the use of motor and sensory functions.  
Further, neurodegenerative dementias (Alzheimer's, Lewy body, and frontotemporal dementia) were discovered to have characteristic auditory disfunctions with deteriorations in the temporal and parietal lobes [14]. Additionally, the executive function, which is dependent on the temporal lobe [15], has also been correlated with gait and balance disfunction [16].  
Considering the previously mentioned difficulty and accessibility of clinical diagnosis of a prodromal stage of dementia, as well as the variety of functions affected by cognitive deterioration, easily accessible diagnostic tools which are sensitive to any form of cognitive impairment are needed. Such diagnostic tools can be implemented through motor and sensory parameters, and applied to smartphone and smart home healthcare technology, which could aid in more elderly people receiving a diagnosis early in the cognitive deterioration stage.  
It is hence necessary to determine the functional differences and similarities between people who are cognitively healthy or cognitively impaired in the early stages and select the features that are best suited for discerning between them. Therefore, this study aimed to (1) compare gait, postural stability, and hearing ability of healthy and cognitively impaired participants, (2) assess the predictive ability of these functions' parameters for classification of people with cognitive impairment and healthy elderly people, and (3) propose a logistic regression model that combines these parameters.