Every number in the app has a source.

Tracking what matters, not just how much

Ohga monitors 14+ nutrients including calories, protein, carbohydrates, fats, fiber, sugar, sodium, saturated fat, cholesterol, calcium, iron, vitamin C, and vitamin A. This breadth matters because macronutrients drive energy and satiety, while micronutrient gaps — even subtle ones — can affect immunity, bone health, and cognitive performance over time.

Recommended daily allowances in Ohga follow the Dietary Guidelines for Americans 2020–2025, the authoritative reference for nutrient intake targets across age and life stage [4]. Rather than arbitrary thresholds, your daily targets reflect evidence-based guidance used by clinicians and registered dietitians nationwide.

AI-Powered Food Recognition

Manual logging is accurate but slow. Ohga's AI food analysis uses computer vision to identify items from a photo, estimate portion sizes, and calculate macronutrients automatically. Deep learning models trained on large food image datasets can recognize diverse cuisines, mixed dishes, and variable plating — reducing the friction that causes most people to abandon food tracking within weeks [5].

The system does not replace your judgment: you can review, adjust portions, and correct identifications. But starting from an AI-generated estimate is far faster than searching a database item by item, which means more complete logs and more reliable nutrition insights over time.

Database Intelligence

For packaged foods, Ohga integrates with Open Food Facts — a free, open, community-verified database of nutrition information covering millions of products worldwide [6]. Scan a barcode and Ohga pulls verified nutrition data instantly, including ingredients, allergens, and Nutri-Score ratings where available.

Community verification means the database improves continuously as users submit corrections and new products. Combined with AI photo analysis for fresh and prepared foods, Ohga covers the full spectrum of how people actually eat — from grocery aisles to home-cooked meals.

12+ techniques with distinct physiological targets

Ohga includes more than a dozen breathing protocols, each selected for a specific outcome:

Box breathing (4-4-4-4) — equal inhale, hold, exhale, and hold phases that stabilize autonomic arousal and improve attention under stress [7].

4-7-8 breathing — extended exhale relative to inhale that activates the parasympathetic nervous system, commonly used for sleep preparation and anxiety reduction [7, 14].

Physiological sigh — a double inhale followed by a long exhale, shown to rapidly reduce stress markers and restore calm within one to three cycles.

Coherent breathing — paced at roughly 5.5 breaths per minute with equal inhalation and exhalation, a rate demonstrated to maximize heart rate variability [10, 11].

Moon breathing (Chandra Bhedana) — left-nostril-dominant breathing that promotes parasympathetic activation and is used in yoga traditions for cooling and calming [14, 16].

Each protocol includes guided timing, visual cues, and session duration options so you can match the technique to the moment — a two-minute reset before a meeting, or a ten-minute wind-down before sleep.

HRV and Autonomic Balance

Heart Rate Variability (HRV) — the variation in time between consecutive heartbeats — is one of the most reliable non-invasive markers of autonomic nervous system function and overall resilience [9]. Higher vagally-mediated HRV reflects a nervous system that adapts well to stress and recovers efficiently.

Controlled breathing directly shifts HRV by engaging the vagus nerve. Slow, diaphragmatic breathing stimulates pulmonary stretch receptors and baroreceptors, sending "safety" signals to the brainstem that activate the parasympathetic "vagal brake" on heart rate [11, 14, 23]. Systematic reviews confirm that voluntary slow breathing significantly increases parasympathetic activity across diverse populations [11, 12, 16].

Ohga tracks HRV trends when synced with compatible wearables, helping you see how consistent breathing practice translates into measurable autonomic improvement over days and weeks — not just how you feel in the moment.

Binaural Beats and Brainwave Entrainment

Binaural beats occur when each ear receives a slightly different frequency, and the brain perceives the difference as a third tone. This auditory illusion can entrain brainwave activity toward specific frequency bands associated with distinct mental states [8].

Theta frequencies (4–8 Hz) are linked to deep relaxation, creative ideation, and meditative states. Alpha frequencies (8–14 Hz) correspond to calm alertness — relaxed but awake, ideal for focused work without the jitter of stimulants. Meta-analytic evidence supports binaural beats as a modest but reliable modulator of anxiety, attention, and pain perception [8].

Ohga pairs binaural beat sessions with breathing protocols so sound and respiration work together: coherent breathing to raise HRV while alpha entrainment supports sustained focus, or 4-7-8 breathing with theta frequencies for pre-sleep relaxation.

Repetition in a stable context builds automaticity

The most cited real-world study of habit formation followed participants repeating a health behavior in a consistent context and found automaticity took a median of 66 days to plateau — with a range from 18 to 254 days depending on the person and the behavior [25]. The practical lesson is that habits are built by showing up repeatedly in the same context, not by bursts of intensity.

Ohga is designed around that finding. Daily quests keep the target behavior small enough to repeat, streaks make the repetition visible, and missing a single day does not erase progress — the research shows one skipped repetition has little effect on the overall curve [25, 26]. The app rewards returning, because returning is what forms the habit.

Motivation Architecture

Self-determination theory identifies three conditions under which motivation is sustained rather than burned through: autonomy (you chose the goal), competence (you can see yourself getting better), and relatedness (other people are in it with you) [29]. Reward systems that ignore these conditions produce short spikes of engagement followed by abandonment.

Ohga maps one mechanic to each condition. You pick your own quests and focus areas rather than receiving a fixed program (autonomy). Progressive difficulty and visible personal records show capability growing week over week (competence). Leagues and shared streaks with friends supply the social dimension (relatedness). A systematic review of gamification in health interventions found predominantly positive effects on health behavior when mechanics are tied to meaningful goals rather than points alone [28].

The Habit-Goal Interface

Research on the habit-goal interface shows that established habits are triggered by context cues — time of day, location, preceding action — rather than by conscious goals [27]. This is why New Year resolutions fail while a morning coffee routine survives decades: one depends on willpower, the other on context.

Ohga uses this by anchoring nudges to your actual routine. The hydration reminder arrives when you usually wake, the pre-workout fuel suggestion appears in your typical training window, and the wind-down cue lands at your observed bedtime. Over weeks, the cue-behavior pairing transfers from the notification to the context itself — the point at which the app can step back and the habit carries on its own [26, 27].

Seven or more hours is the evidence-based floor

The American Academy of Sleep Medicine and the Sleep Research Society jointly recommend seven or more hours of sleep per night for healthy adults, based on a consensus review of the evidence linking shorter sleep to impaired attention, metabolic disruption, and reduced physical performance [30].

For training specifically, a systematic review of sleep and athletic performance found that sleep loss degrades sustained exercise performance, slows reaction time, and blunts the cognitive side of training — decision speed, motivation, and perceived exertion all suffer before strength does [31]. In practice this means a short night changes what a productive day looks like, and a good plan should change with it.

Wearable Sleep Tracking

Consumer wearables have become genuinely useful sleep instruments — with known limits. A comprehensive review of wearable sleep technology found that modern multi-sensor devices estimate sleep duration and timing well, while precise sleep staging remains less reliable than laboratory polysomnography [32].

Ohga works with those limits rather than against them. The engine weights the measures wearables capture accurately — duration, consistency, bedtime drift, and overnight heart rate — and reads them as multi-night trends instead of judging any single night. A one-off bad reading changes little; a week of shrinking sleep changes your targets.

Recovery-Aware Guidance

Recovery is where sleep data becomes action. After a short night, Ohga lowers the intensity of suggested training, shifts the focus toward technique or mobility work, and surfaces an earlier wind-down cue in the evening. After a strong week of sleep, the engine does the opposite — this is the same adaptive budgeting described in Part 1, extended to rest [30, 31].

The loop also runs forward. Evening wind-down recommendations draw on the breathing research in Part 3 — slow-paced protocols such as 4-7-8 are associated with parasympathetic activation that supports falling asleep [14, 16]. Sleep feeds the day, the day feeds sleep, and the engine keeps both sides of that exchange in view.