Multimodal Based Audio-Visual Speech Recognition for Hard-of-Hearing: State of the Art Techniques and Challenges

Multimodal Integration (MI) is the study of merging the knowledge acquired by the nervous system using sensory modalities such as speech, vision, touch, and gesture. The applications of MI expand over the areas of Audio-Visual Speech Recognition (AVSR), Sign Language Recognition (SLR), Emotion Recognition (ER), Bio Metrics Applications (BMA), Affect Recognition (AR), Multimedia Retrieval (MR), etc. The fusion of modalities such as hand gestures- facial, lip- hand position, etc., are mainly used sensory modalities for the development of hearing-impaired multimodal systems. This paper encapsulates an overview of multimodal systems available within literature towards hearing impaired studies. This paper also discusses some of the studies related to hearing-impaired acoustic analysis. It is observed that very less algorithms have been developed for hearing impaired AVSR as compared to normal hearing. Thus, the study of audio-visual based speech recognition systems for the hearing impaired is highly demanded for the people who are trying to communicate with natively speaking languages.  This paper also highlights the state-of-the-art techniques in AVSR and the challenges faced by the researchers for the development of AVSR systems

Prevalence, practice, and determinants of self-medication among the common public in a village of Northern Kerala, India

Background: Self-medication, managing health issues without professional guidance, poses significant risks to individuals and public health. Prevalence rates vary globally, often higher in low-income countries due to limited healthcare access. While self-medication offers cost-effective solutions for minor ailments, it may lead to misuse, adverse effects and financial burdens. Identifying factors driving self-medication is crucial for tailored interventions. This study aims to assess self-medication prevalence, practice, and influencing factors in a Kerala village. Methods: A community-based cross-sectional study included 212 participants (≥18 years) selected via convenient sampling. A pre-tested questionnaire collected socio-demographic data, self-medication prevalence, and influencing factors. Self-medication was defined as OTC drug use without consulting a medical graduate. Data were analyzed using SPSS 26, with chi-square tests for bivariate analysis (p≤0.05). Results: Participants (mean age: 38.13±15.56) reported 53.8% self-medication. Acute illness individuals self-medicated more (80.7% purchased from independent pharmacies). Time constraints (24.5%) and expired prescriptions (42.1%) drove self-medication. Medication choice was influenced by cost (54.3%), brand reputation (21.1%), and both (24.6%), with pharmacist recommendations (36.0%) playing a role. Self-medication was common among ages 41-60 (64.3%) and those with lower education levels (77.8% primary, 70.5% middle). Acute illness individuals self-medicated more (66%) than chronic cases (34%). Conclusions: This rural Kerala study identifies a 53.8% self-medication rate, affected by age, education, and healthcare preferences. Targeted interventions are needed for ethical self-medication and improved healthcare practices